WO_opt.log

[4.1, 81.2, 1043.38, 20.92, 79.23, 118.34]
6
[50, 50, 1, 1, 1, 1]
Config got.
[[-1.36321595]]
Obj mean and sd ranges: 3.0198601857801505e-269 and 0.0
Constrs mean and sd ranges: [1.96862781e-270 3.55930636e-269] and [0. 0.]
For the problem WO, in                   step 0, we get objective [[7.48459666]] and constraints                   [[-0.7274969   4.18244987]].
Obj mean and sd ranges: 0.6091921884724918 and 0.09781464089304348
Constrs mean and sd ranges: [0.03971285 0.71801391] and [0.00484896 0.1073535 ]
For the problem WO, in                   step 1, we get objective [[-2.1765279]] and constraints                   [[-0.08911758 -1.26864604]].
Obj mean and sd ranges: 0.02685870035655946 and 0.0001074124207632865
Constrs mean and sd ranges: [0.0008755 0.0101458] and [5.32472804e-06 1.17887256e-04]
For the problem WO, in                   step 2, we get objective [[-4.84596759]] and constraints                   [[-0.09167375 -1.22747235]].
Obj mean and sd ranges: 1.987642429904472e-14 and 0.0
Constrs mean and sd ranges: [1.93194531e-15 1.11070980e-14] and [0. 0.]
For the problem WO, in                   step 3, we get objective [[2.01050988]] and constraints                   [[ 0.06971798 -4.37456807]].
Obj mean and sd ranges: 1.4127073819889808e-187 and 0.0
Constrs mean and sd ranges: [2.66167885e-189 3.56855003e-188] and [0. 0.]
For the problem WO, in                   step 4, we get objective [[-4.09507763]] and constraints                   [[-0.71117686  4.08063551]].
Obj mean and sd ranges: 2.6498070573903074e-06 and 2.0183854587685346e-13
Constrs mean and sd ranges: [4.60175567e-07 2.64046199e-06] and [1.00058850e-14 2.21378471e-13]
For the problem WO, in                   step 5, we get objective [[-7.51641992]] and constraints                   [[ 1.23026629 -0.56284313]].
Obj mean and sd ranges: 1.2613282267614556e-08 and 0.0
Constrs mean and sd ranges: [2.06447690e-09 9.44505408e-10] and [0. 0.]
For the problem WO, in                   step 6, we get objective [[0.07749229]] and constraints                   [[ 1.23660033 -0.50073849]].
Obj mean and sd ranges: 1.5876694168042063e-35 and 0.0
Constrs mean and sd ranges: [1.56747071e-36 3.19283555e-35] and [0. 0.]
For the problem WO, in                   step 7, we get objective [[2.97733021]] and constraints                   [[-0.71608387  4.08761024]].
Obj mean and sd ranges: 2.095726261207401e-06 and 2.3880897259687117e-13
Constrs mean and sd ranges: [5.04040304e-07 2.87724624e-06] and [1.18377530e-14 2.62012634e-13]
For the problem WO, in                   step 8, we get objective [[9.95039876]] and constraints                   [[ 1.21978809 -0.47626941]].
Obj mean and sd ranges: 2.3763537878805778e-32 and 0.0
Constrs mean and sd ranges: [4.48664047e-34 6.02295301e-33] and [0. 0.]
For the problem WO, in                   step 9, we get objective [[2.29736742]] and constraints                   [[-0.70845103  4.2040461 ]].
Obj mean and sd ranges: 0.016225967662454488 and 2.2460548398939295e-06
Constrs mean and sd ranges: [0.00265578 0.00121503] and [1.11343783e-07 2.46508961e-06]
For the problem WO, in                   step 10, we get objective [[-11.1970995]] and constraints                   [[ 1.23038848 -0.43420185]].
Obj mean and sd ranges: 1.8877329979701175e-11 and 0.0
Constrs mean and sd ranges: [1.48169222e-12 4.57438761e-11] and [0. 0.]
For the problem WO, in                   step 11, we get objective [[2.21016978]] and constraints                   [[ 0.06247259 -4.4772723 ]].
Obj mean and sd ranges: 9.04013903601187e-19 and 0.0
Constrs mean and sd ranges: [2.78771460e-19 1.65429183e-18] and [0. 0.]
For the problem WO, in                   step 12, we get objective [[-4.17138757]] and constraints                   [[-0.72077048  4.04634466]].
Obj mean and sd ranges: 2.002399263682134e-20 and 0.0
Constrs mean and sd ranges: [4.81594359e-21 2.74911657e-20] and [0. 0.]
For the problem WO, in                   step 13, we get objective [[7.27612888]] and constraints                   [[-0.72311078  4.09895744]].
Obj mean and sd ranges: 0.0006701812269612578 and 2.186373082579962e-09
Constrs mean and sd ranges: [8.21542428e-05 3.20778002e-05] and [1.08385176e-10 2.39958742e-09]
For the problem WO, in                   step 14, we get objective [[19.33352534]] and constraints                   [[0.16465581 8.08212717]].
Obj mean and sd ranges: 1.2033127112227546e-05 and 7.852718475476195e-12
Constrs mean and sd ranges: [2.89191684e-06 1.65080573e-05] and [3.89278887e-13 8.61843930e-12]
For the problem WO, in                   step 15, we get objective [[8.9328761]] and constraints                   [[ 1.21964709 -0.55557536]].
Obj mean and sd ranges: 3.176478573299386e-20 and 0.0
Constrs mean and sd ranges: [5.51639345e-21 3.16527608e-20] and [0. 0.]
For the problem WO, in                   step 16, we get objective [[2.63841332]] and constraints                   [[-0.7192191   4.20114522]].
Obj mean and sd ranges: 0.42350972510612617 and 0.004980923853976527
Constrs mean and sd ranges: [0.07317684 0.41081446] and [0.00024692 0.00546666]
For the problem WO, in                   step 17, we get objective [[-4.78171514]] and constraints                   [[ 1.23046362 -0.5623158 ]].
Obj mean and sd ranges: 2.2311474421466713e-07 and 1.6653345369377348e-15
Constrs mean and sd ranges: [6.46807613e-08 2.74729417e-07] and [7.63278329e-17 1.77635684e-15]
For the problem WO, in                   step 18, we get objective [[-3.94155064]] and constraints                   [[ 1.22108433 -0.58378211]].
Obj mean and sd ranges: 0.007582130437957399 and 1.2090512786500085e-06
Constrs mean and sd ranges: [0.00195336 0.0009173 ] and [5.99363564e-08 1.32695769e-06]
For the problem WO, in                   step 19, we get objective [[-2.89039332]] and constraints                   [[ 1.2281329  -0.56616849]].
Obj mean and sd ranges: 0.00038831678891295844 and 1.2105839973797217e-05
Constrs mean and sd ranges: [0.0061974  0.00250956] and [6.00123379e-07 1.32863988e-05]
For the problem WO, in                   step 20, we get objective [[-4.17774637]] and constraints                   [[ 1.22921069 -0.37130341]].
Obj mean and sd ranges: 0.0007612418040423727 and 1.665488735813625e-08
Constrs mean and sd ranges: [0.0001322  0.00075856] and [8.2563352e-10 1.8279068e-08]
For the problem WO, in                   step 21, we get objective [[-9.27796473]] and constraints                   [[ 1.22426163 -0.52904418]].
Obj mean and sd ranges: 0.00181922466921347 and 3.022262597962566e-07
Constrs mean and sd ranges: [0.000561   0.00332907] and [1.49822767e-08 3.31699297e-07]
For the problem WO, in                   step 22, we get objective [[6.99775265]] and constraints                   [[ 1.23208813 -0.5732275 ]].
Obj mean and sd ranges: 0.02307269268278899 and 0.0008423518449199863
Constrs mean and sd ranges: [0.00248425 0.05152375] and [4.17576753e-05 9.24497811e-04]
For the problem WO, in                   step 23, we get objective [[-0.55742617]] and constraints                   [[-0.0839696  -1.27613976]].
Obj mean and sd ranges: 0.020339660913820702 and 3.5538257479039714e-06
Constrs mean and sd ranges: [0.00337596 0.00154305] and [1.76173972e-07 3.90039405e-06]
For the problem WO, in                   step 24, we get objective [[-1.77362036]] and constraints                   [[ 1.22817459 -0.53131405]].
Obj mean and sd ranges: 7.593920204197266e-09 and 0.0
Constrs mean and sd ranges: [2.07004055e-09 1.20916885e-08] and [0. 0.]
For the problem WO, in                   step 25, we get objective [[0.94132217]] and constraints                   [[ 1.15723016 -2.85173773]].
Obj mean and sd ranges: 3.0895619336649442e-12 and 0.0
Constrs mean and sd ranges: [1.93626620e-12 3.73698658e-12] and [0. 0.]
For the problem WO, in                   step 26, we get objective [[-4.15783387]] and constraints                   [[ 0.15004651 -5.62929232]].
Obj mean and sd ranges: 0.04562270836673845 and 0.00025207052635545235
Constrs mean and sd ranges: [0.00158203 0.09926817] and [1.24959041e-05 2.76652388e-04]
For the problem WO, in                   step 27, we get objective [[0.76896507]] and constraints                   [[ 0.06110277 -4.47693609]].
Obj mean and sd ranges: 0.00010862822894624269 and 1.1151968237754772e-10
Constrs mean and sd ranges: [2.37277755e-05 6.81526359e-05] and [5.52837637e-12 1.22395205e-10]
For the problem WO, in                   step 28, we get objective [[0.54330561]] and constraints                   [[ 0.10029997 -4.87853527]].
Obj mean and sd ranges: 1.205683825361252e-06 and 1.3604672943756668e-12
Constrs mean and sd ranges: [9.92372444e-08 7.29908640e-06] and [6.74460487e-14 1.49302792e-12]
For the problem WO, in                   step 29, we get objective [[0.73214027]] and constraints                   [[ 0.07025109 -4.35490778]].
Obj mean and sd ranges: 0.045111058648435766 and 1.1542770709693784e-05
Constrs mean and sd ranges: [0.00693949 0.00802956] and [5.72210320e-07 1.26684191e-05]
For the problem WO, in                   step 30, we get objective [[-7.02928177]] and constraints                   [[-0.72077183  4.08046189]].
Obj mean and sd ranges: 4.074270893641153e-06 and 2.098321516541546e-14
Constrs mean and sd ranges: [1.82299140e-08 1.76720732e-06] and [1.03389519e-15 2.28705943e-14]
For the problem WO, in                   step 31, we get objective [[-2.37425928]] and constraints                   [[ 0.41799511 -9.57754041]].
Obj mean and sd ranges: 0.00019744043148200803 and 3.3337838045710555e-09
Constrs mean and sd ranges: [3.47659280e-05 7.96538921e-04] and [1.65265822e-10 3.65889363e-09]
For the problem WO, in                   step 32, we get objective [[1.89231974]] and constraints                   [[-0.72515102  4.07742316]].
Obj mean and sd ranges: 1.0420003870928782e-08 and 1.1102230246251565e-16
Constrs mean and sd ranges: [2.65557585e-09 8.50553874e-08] and [0. 0.]
For the problem WO, in                   step 33, we get objective [[3.53840118]] and constraints                   [[ 0.09045007 -4.85704299]].
Obj mean and sd ranges: 3.6969208255900623e-07 and 6.661338147750939e-14
Constrs mean and sd ranges: [2.74065922e-08 5.29568873e-07] and [3.3029135e-15 7.3052675e-14]
For the problem WO, in                   step 34, we get objective [[-0.20880311]] and constraints                   [[-0.08453106 -1.31804898]].
Obj mean and sd ranges: 0.0007770014317835298 and 1.1888397188908328e-07
Constrs mean and sd ranges: [0.00080319 0.00034073] and [5.89344078e-09 1.30477510e-07]
For the problem WO, in                   step 35, we get objective [[-0.02907297]] and constraints                   [[-0.71038712  4.1577456 ]].
Obj mean and sd ranges: 0.0471047286964995 and 0.0001897166553439522
Constrs mean and sd ranges: [0.00829319 0.1900105 ] and [9.40483273e-06 2.08217781e-04]
For the problem WO, in                   step 36, we get objective [[-3.17291458]] and constraints                   [[ 0.42114976 -9.59574715]].
Obj mean and sd ranges: 0.0008175627071295221 and 4.024038613437142e-08
Constrs mean and sd ranges: [9.85091463e-05 1.67820498e-03] and [1.99483854e-09 4.41646197e-08]
For the problem WO, in                   step 37, we get objective [[6.37795984]] and constraints                   [[-0.71487284  4.0224415 ]].
Obj mean and sd ranges: 0.8349575441880374 and 0.0009068720429568078
Constrs mean and sd ranges: [0.00701303 0.35304388] and [4.49564103e-05 9.95310003e-04]
For the problem WO, in                   step 38, we get objective [[2.38911059]] and constraints                   [[ 0.18098237 -6.05201289]].
Obj mean and sd ranges: 0.9438338728516599 and 0.06378706162277759
Constrs mean and sd ranges: [0.25728127 1.50285718] and [0.00316212 0.07000756]
For the problem WO, in                   step 39, we get objective [[2.09130318]] and constraints                   [[-0.72513193  4.10792976]].
Obj mean and sd ranges: 0.1970281881786669 and 0.0020997449367208265
Constrs mean and sd ranges: [0.08265369 0.03812662] and [0.00010409 0.00230451]
For the problem WO, in                   step 40, we get objective [[2.21685955]] and constraints                   [[0.39603119 6.94323464]].
Obj mean and sd ranges: 0.002473242283929169 and 1.0093436574654113e-05
Constrs mean and sd ranges: [0.00045658 0.02220822] and [5.00362410e-07 1.10777463e-05]
For the problem WO, in                   step 41, we get objective [[-1.86648678]] and constraints                   [[ 0.11085945 -4.74223301]].
Obj mean and sd ranges: 0.0054619581724314435 and 2.772605616208068e-07
Constrs mean and sd ranges: [0.000577   0.00348165] and [1.3744651e-08 3.0429895e-07]
For the problem WO, in                   step 42, we get objective [[-8.03361144]] and constraints                   [[ 0.15670167 -5.69553769]].
Obj mean and sd ranges: 1.098849019951175e-07 and 7.549516567451064e-15
Constrs mean and sd ranges: [9.20165117e-09 5.66382810e-07] and [3.67761377e-16 8.21565038e-15]
For the problem WO, in                   step 43, we get objective [[-1.16859041]] and constraints                   [[ 0.06425775 -4.47050828]].
Obj mean and sd ranges: 0.008574941200769591 and 2.861300304024539e-06
Constrs mean and sd ranges: [0.00021929 0.01177703] and [1.41843376e-07 3.14033367e-06]
For the problem WO, in                   step 44, we get objective [[20.81342431]] and constraints                   [[0.19363775 7.9464674 ]].
Obj mean and sd ranges: 1.275871655256767e-06 and 1.2312373343092986e-13
Constrs mean and sd ranges: [3.71898564e-08 2.60669216e-06] and [6.09928774e-15 1.35003120e-13]
For the problem WO, in                   step 45, we get objective [[1.35605954]] and constraints                   [[ 0.07090306 -4.41953105]].
Obj mean and sd ranges: 0.012914044273119917 and 1.1148329107646404e-06
Constrs mean and sd ranges: [0.0023031  0.00112817] and [5.52656657e-08 1.22355117e-06]
For the problem WO, in                   step 46, we get objective [[-7.38975368]] and constraints                   [[-0.0440959  -2.78660362]].
Obj mean and sd ranges: 0.2804236742931635 and 0.0008178086297027098
Constrs mean and sd ranges: [0.03115965 0.17554842] and [4.05412656e-05 8.97561146e-04]
For the problem WO, in                   step 47, we get objective [[11.98676252]] and constraints                   [[ 1.23388727 -0.61416914]].
Obj mean and sd ranges: 7.695879606234203e-05 and 1.250316516987482e-10
Constrs mean and sd ranges: [2.19535221e-05 7.10543642e-05] and [6.19819474e-12 1.37224676e-10]
For the problem WO, in                   step 48, we get objective [[2.06273178]] and constraints                   [[-0.72909252  4.12573754]].
Obj mean and sd ranges: 0.2683103683141718 and 0.003934272366333036
Constrs mean and sd ranges: [0.06495543 0.36908066] and [0.00019503 0.00431794]
For the problem WO, in                   step 49, we get objective [[1.95578169]] and constraints                   [[ 0.29785216 -7.66864209]].
Obj mean and sd ranges: 0.40572822735426933 and 0.008142707990760889
Constrs mean and sd ranges: [0.05359795 1.2210904 ] and [0.00040366 0.00893678]
For the problem WO, in                   step 50, we get objective [[-0.3077646]] and constraints                   [[-0.59938983  4.58994346]].
Obj mean and sd ranges: 0.12045283485238806 and 0.00017222991706811186
Constrs mean and sd ranges: [0.01447541 0.15070898] and [8.53796183e-06 1.89025740e-04]
For the problem WO, in                   step 51, we get objective [[3.26355097]] and constraints                   [[ 0.06750633 -4.43731698]].
Obj mean and sd ranges: 0.07768948172792595 and 4.809003725469996e-05
Constrs mean and sd ranges: [0.01720317 0.00631787] and [2.3839697e-06 5.2779767e-05]
For the problem WO, in                   step 52, we get objective [[-4.8841138]] and constraints                   [[-0.59808005  3.19147877]].
Obj mean and sd ranges: 0.00011304707000632322 and 6.258147333682018e-10
Constrs mean and sd ranges: [2.74532456e-05 1.65089669e-04] and [3.10235518e-11 6.86844137e-10]
For the problem WO, in                   step 53, we get objective [[-1.6983518]] and constraints                   [[ 0.43160711 -9.60544055]].
Obj mean and sd ranges: 0.642578259630531 and 0.03847539810525136
Constrs mean and sd ranges: [0.19816044 1.17590415] and [0.00190734 0.04222751]
For the problem WO, in                   step 54, we get objective [[2.31921838]] and constraints                   [[-0.73162406  4.1271138 ]].
Obj mean and sd ranges: 11.957208856595116 and 0.9638236010916812
Constrs mean and sd ranges: [1.26502983 0.78974874] and [0.047552   1.05783411]
For the problem WO, in                   step 55, we get objective [[15.53592176]] and constraints                   [[0.64494642 5.18761874]].
Obj mean and sd ranges: 0.01229833195200078 and 8.2275736123405e-05
Constrs mean and sd ranges: [0.01511929 0.03725859] and [4.07865897e-06 9.02992476e-05]
For the problem WO, in                   step 56, we get objective [[-1.99463997]] and constraints                   [[ 1.15006668 -2.77356821]].
Obj mean and sd ranges: 6.303178756000916e-05 and 8.254263939022621e-11
Constrs mean and sd ranges: [1.18736479e-06 1.59187351e-05] and [4.09188655e-12 9.05922004e-11]
For the problem WO, in                   step 57, we get objective [[-5.71143299]] and constraints                   [[-0.08692354 -1.21490691]].
Obj mean and sd ranges: 0.11466129182094284 and 0.0020798423057256654
Constrs mean and sd ranges: [0.10399769 0.08752219] and [0.0001031  0.00228267]
For the problem WO, in                   step 58, we get objective [[-5.35053699]] and constraints                   [[-0.01874438 -3.30355111]].
Obj mean and sd ranges: 0.14824310587232206 and 0.0003057207340296797
Constrs mean and sd ranges: [0.02085989 0.10802189] and [1.51555084e-05 3.35534552e-04]
For the problem WO, in                   step 59, we get objective [[6.54627164]] and constraints                   [[ 0.32849594 -7.98324326]].
Obj mean and sd ranges: 0.4409569438841188 and 0.000642735265476535
Constrs mean and sd ranges: [0.08022931 0.50435835] and [3.18623453e-05 7.05414666e-04]
For the problem WO, in                   step 60, we get objective [[8.26953868]] and constraints                   [[-0.73855246  4.12791277]].
Obj mean and sd ranges: 0.0007894753770099688 and 2.076120677596549e-07
Constrs mean and sd ranges: [0.00010875 0.00319887] and [1.02919629e-08 2.27858350e-07]
For the problem WO, in                   step 61, we get objective [[2.17905766]] and constraints                   [[ 0.10216681 -4.93394156]].
Obj mean and sd ranges: 0.018245760113291414 and 0.02912963056200446
Constrs mean and sd ranges: [0.03014213 1.4278101 ] and [0.00144404 0.03197035]
For the problem WO, in                   step 62, we get objective [[14.16737558]] and constraints                   [[0.16237868 8.06580327]].
Obj mean and sd ranges: 0.0841250627124812 and 8.650537522636448e-06
Constrs mean and sd ranges: [0.0012903  0.03502137] and [4.28833507e-07 9.49413602e-06]
For the problem WO, in                   step 63, we get objective [[4.73423162]] and constraints                   [[ 0.41273731 -9.19448827]].
Obj mean and sd ranges: 0.31658508423831333 and 0.0014838900334256389
Constrs mean and sd ranges: [0.0048181  0.06734228] and [7.35609497e-05 1.62859866e-03]
For the problem WO, in                   step 64, we get objective [[-3.63812287]] and constraints                   [[-0.07116598 -1.35406888]].
Obj mean and sd ranges: 0.9392510663763163 and 0.025552847209795115
Constrs mean and sd ranges: [0.30869511 0.99169736] and [0.00126673 0.02804476]
For the problem WO, in                   step 65, we get objective [[-3.92791699]] and constraints                   [[-0.71671793  4.10711542]].
Obj mean and sd ranges: 1.296912632698061 and 0.06829904070243786
Constrs mean and sd ranges: [0.03322616 1.78818655] and [0.00338579 0.07495955]
For the problem WO, in                   step 66, we get objective [[2.26704081]] and constraints                   [[ 0.10281201 -4.72185662]].
Obj mean and sd ranges: 0.36368933376196616 and 0.0016598503585291136
Constrs mean and sd ranges: [0.09645676 0.22186421] and [8.22836555e-05 1.82171860e-03]
For the problem WO, in                   step 67, we get objective [[3.83381888]] and constraints                   [[-0.71363961  4.1189835 ]].
Obj mean and sd ranges: 3.851461459046803e-05 and 8.049094724071892e-11
Constrs mean and sd ranges: [9.29329337e-06 5.38173716e-05] and [3.99018318e-12 8.83404461e-11]
For the problem WO, in                   step 68, we get objective [[-2.90911225]] and constraints                   [[ 0.32948465 -8.46749045]].
Obj mean and sd ranges: 0.48504095092314325 and 0.026949566450763296
Constrs mean and sd ranges: [0.17121531 0.97061907] and [0.00133597 0.02957768]
For the problem WO, in                   step 69, we get objective [[0.96931369]] and constraints                   [[-0.70264207  4.11439547]].
Obj mean and sd ranges: 0.38654925440984816 and 0.004193652185105923
Constrs mean and sd ranges: [0.01394886 0.52332558] and [0.00020789 0.00460262]
For the problem WO, in                   step 70, we get objective [[-3.34363353]] and constraints                   [[ 0.15990342 -5.61632507]].
Obj mean and sd ranges: 0.0138935551769183 and 2.075523404809765e-06
Constrs mean and sd ranges: [0.00150691 0.01409173] and [1.02890020e-07 2.27792799e-06]
For the problem WO, in                   step 71, we get objective [[2.94266717]] and constraints                   [[-0.71286508  4.04622524]].
Obj mean and sd ranges: 0.05144218916978827 and 9.002458571372163e-05
Constrs mean and sd ranges: [0.00752232 0.14226206] and [4.46279305e-06 9.88037633e-05]
For the problem WO, in                   step 72, we get objective [[-2.48859173]] and constraints                   [[ 0.34095041 -8.41254841]].
Obj mean and sd ranges: 0.02030166974233111 and 2.3913994978252973e-05
Constrs mean and sd ranges: [0.00122947 0.03712173] and [1.18548931e-06 2.62460825e-05]
For the problem WO, in                   step 73, we get objective [[-4.33414122]] and constraints                   [[ 0.15890706 -5.67432351]].
Obj mean and sd ranges: 1.2297013872646327 and 0.007390217121260423
Constrs mean and sd ranges: [0.15074673 0.05869774] and [0.00036636 0.00811091]
For the problem WO, in                   step 74, we get objective [[7.82400924]] and constraints                   [[-0.71312099  4.20733879]].
Obj mean and sd ranges: 0.7264971474813647 and 0.9637979948259476
Constrs mean and sd ranges: [0.06970863 4.32134186] and [0.04755073 1.057806  ]
For the problem WO, in                   step 75, we get objective [[1.34854118]] and constraints                   [[ 0.50682646 -0.48831816]].
Obj mean and sd ranges: 0.6457561902397013 and 0.05838946084584484
Constrs mean and sd ranges: [0.57545771 0.2225392 ] and [0.00289454 0.06408359]
For the problem WO, in                   step 76, we get objective [[-4.91269887]] and constraints                   [[-0.03918214 -3.00131256]].
Obj mean and sd ranges: 0.7450099070863483 and 0.01145798843090684
Constrs mean and sd ranges: [0.01409784 0.1886964 ] and [0.00056801 0.01257537]
For the problem WO, in                   step 77, we get objective [[-4.88931496]] and constraints                   [[-0.09089863 -1.28576502]].
Obj mean and sd ranges: 0.6805900553740956 and 0.003958061778036259
Constrs mean and sd ranges: [0.07056763 0.38968788] and [0.00019621 0.00434405]
For the problem WO, in                   step 78, we get objective [[5.94924382]] and constraints                   [[-0.73211711  4.07541493]].
Obj mean and sd ranges: 0.0004174878318943937 and 1.6943632230592698e-07
Constrs mean and sd ranges: [3.69513552e-05 2.64741813e-03] and [8.39947472e-09 1.85959715e-07]
For the problem WO, in                   step 79, we get objective [[-0.27292485]] and constraints                   [[ 0.0824653  -4.44935988]].
Obj mean and sd ranges: 0.22349912051651916 and 0.0003017048751646767
Constrs mean and sd ranges: [0.0305137  0.01395386] and [1.49564300e-05 3.31127068e-04]
For the problem WO, in                   step 80, we get objective [[22.34775152]] and constraints                   [[0.16173185 8.0412401 ]].
Obj mean and sd ranges: 0.12495250719837417 and 0.0006809679924102419
Constrs mean and sd ranges: [0.02266154 0.22474229] and [3.37576581e-05 7.47375840e-04]
For the problem WO, in                   step 81, we get objective [[0.94727502]] and constraints                   [[ 0.08608791 -4.82260698]].
Obj mean and sd ranges: 0.08228470843109878 and 0.00029324323874302394
Constrs mean and sd ranges: [0.00197135 0.10962   ] and [1.45369405e-05 3.21840254e-04]
For the problem WO, in                   step 82, we get objective [[4.83634685]] and constraints                   [[ 0.09423968 -4.9412237 ]].
Obj mean and sd ranges: 2.0662813519126573 and 0.13908064328733483
Constrs mean and sd ranges: [0.09406392 3.3396972 ] and [0.00689464 0.15264376]
For the problem WO, in                   step 83, we get objective [[-3.14895887]] and constraints                   [[ 0.15732572 -5.61912827]].
Obj mean and sd ranges: 0.0013337702421046958 and 1.5476048664808673e-07
Constrs mean and sd ranges: [0.00032264 0.00198259] and [7.67192595e-09 1.69852695e-07]
For the problem WO, in                   step 84, we get objective [[2.30922776]] and constraints                   [[-0.73637945  4.0909635 ]].
Obj mean and sd ranges: 0.034839307376603346 and 0.00012827131768011757
Constrs mean and sd ranges: [0.00160967 0.07733617] and [6.35879986e-06 1.40780308e-04]
For the problem WO, in                   step 85, we get objective [[1.07148564]] and constraints                   [[ 0.08561662 -4.91835032]].
Obj mean and sd ranges: 1.345607547323338 and 0.9637979948259474
Constrs mean and sd ranges: [0.07035557 4.385467  ] and [0.04755073 1.057806  ]
For the problem WO, in                   step 86, we get objective [[14.11262103]] and constraints                   [[0.17642331 8.00266754]].
Obj mean and sd ranges: 1.4045537423760102 and 0.09694474988124835
Constrs mean and sd ranges: [0.04076107 1.97359402] and [0.00480584 0.10639878]
For the problem WO, in                   step 87, we get objective [[3.49099623]] and constraints                   [[ 0.0603684  -4.54875176]].
Obj mean and sd ranges: 0.0416446259428627 and 3.49209317936916e-05
Constrs mean and sd ranges: [0.0007624  0.01357103] and [1.73113766e-06 3.83264133e-05]
For the problem WO, in                   step 88, we get objective [[-5.03614271]] and constraints                   [[-0.08531462 -1.34829075]].
Obj mean and sd ranges: 0.8040943867528303 and 0.003328319730243945
Constrs mean and sd ranges: [0.00937184 0.81534564] and [0.00016499 0.0036529 ]
For the problem WO, in                   step 89, we get objective [[4.86395362]] and constraints                   [[ 0.10104167 -4.92019412]].
Obj mean and sd ranges: 0.0569658694695996 and 0.005889630206499907
Constrs mean and sd ranges: [0.01080798 0.55654698] and [0.00029197 0.00646399]
For the problem WO, in                   step 90, we get objective [[5.92177632]] and constraints                   [[ 1.22979864 -0.53915123]].
Obj mean and sd ranges: 0.016954858312141097 and 9.770407056108876e-05
Constrs mean and sd ranges: [0.02247093 0.05464773] and [4.84348932e-06 1.07232150e-04]
For the problem WO, in                   step 91, we get objective [[-1.79967214]] and constraints                   [[-0.71627869  4.17693684]].
Obj mean and sd ranges: 0.28196510517460616 and 0.004352773367161444
Constrs mean and sd ranges: [0.06894849 0.41304477] and [0.00021578 0.00477725]
For the problem WO, in                   step 92, we get objective [[1.44958563]] and constraints                   [[ 0.29240595 -7.60382465]].
Obj mean and sd ranges: 2.539365347293324 and 0.032179670211704536
Constrs mean and sd ranges: [0.32167973 0.17742968] and [0.00159524 0.03531782]
For the problem WO, in                   step 93, we get objective [[15.99711723]] and constraints                   [[0.3815981  7.03773064]].
Obj mean and sd ranges: 0.01619694210560942 and 3.4309919971553526e-05
Constrs mean and sd ranges: [0.00785258 0.03054884] and [1.70084465e-06 3.76558158e-05]
For the problem WO, in                   step 94, we get objective [[-1.59531272]] and constraints                   [[ 0.14103621 -5.66560905]].
Obj mean and sd ranges: 1.1745001475418062 and 0.07512413388315842
Constrs mean and sd ranges: [0.04371696 2.11697423] and [0.00372414 0.08245022]
For the problem WO, in                   step 95, we get objective [[2.27849619]] and constraints                   [[ 0.09770866 -4.90847977]].
Obj mean and sd ranges: 0.2630005107616815 and 0.001338540658711418
Constrs mean and sd ranges: [0.00445357 0.07028181] and [6.63555383e-05 1.46907485e-03]
For the problem WO, in                   step 96, we get objective [[-7.15025131]] and constraints                   [[-0.07938991 -1.27381729]].
Obj mean and sd ranges: 0.012335184378560266 and 2.8793253860515122e-05
Constrs mean and sd ranges: [0.0010862  0.04370347] and [1.42736934e-06 3.16011656e-05]
For the problem WO, in                   step 97, we get objective [[-1.08648446]] and constraints                   [[ 0.01638636 -2.96913831]].
Obj mean and sd ranges: 0.1892798039673276 and 0.0007685643497352679
Constrs mean and sd ranges: [0.01682182 0.36578403] and [3.81000764e-05 8.43514574e-04]
For the problem WO, in                   step 98, we get objective [[4.77573354]] and constraints                   [[-0.52888834  2.32588607]].
Obj mean and sd ranges: 0.8377566440774901 and 0.1250238536850692
Constrs mean and sd ranges: [0.21282935 4.73508754] and [0.0061978  0.13721615]
For the problem WO, in                   step 99, we get objective [[-1.95091159]] and constraints                   [[ 0.42650717 -9.60679791]].
Obj mean and sd ranges: 0.07677819311851257 and 0.00018285186712230228
Constrs mean and sd ranges: [0.02378375 0.01137076] and [9.06452426e-06 2.00683541e-04]
For the problem WO, in                   step 100, we get objective [[-3.5560535]] and constraints                   [[-0.70642137  4.16830864]].
Obj mean and sd ranges: 5.469633763434712 and 0.07287122211114783
Constrs mean and sd ranges: [0.47416264 2.22722481] and [0.00361244 0.07997761]
For the problem WO, in                   step 101, we get objective [[7.82247092]] and constraints                   [[-0.72765834  4.08498263]].
Obj mean and sd ranges: 0.35002268820412247 and 0.01432853766483877
Constrs mean and sd ranges: [0.13062775 0.73538301] and [0.00071031 0.01572585]
For the problem WO, in                   step 102, we get objective [[-0.55721887]] and constraints                   [[ 0.44778442 -9.99959354]].
Obj mean and sd ranges: 0.2773536435963504 and 0.006035660197920456
Constrs mean and sd ranges: [0.08287284 0.48225755] and [0.00029921 0.00662426]
For the problem WO, in                   step 103, we get objective [[0.3749007]] and constraints                   [[-0.73626756  4.07110131]].
Obj mean and sd ranges: 0.009187990585690657 and 0.0008324811386600794
Constrs mean and sd ranges: [0.00354329 0.05535279] and [4.12686265e-05 9.13664514e-04]
For the problem WO, in                   step 104, we get objective [[-1.59260648]] and constraints                   [[-0.07653597 -1.35694502]].
Obj mean and sd ranges: 0.15046719119841745 and 0.001383291984670354
Constrs mean and sd ranges: [0.04264433 0.24782595] and [6.85741002e-05 1.51819031e-03]
For the problem WO, in                   step 105, we get objective [[-1.63713881]] and constraints                   [[  0.49337849 -10.849348  ]].
Obj mean and sd ranges: 0.14458103289860508 and 0.0008282393218291828
Constrs mean and sd ranges: [0.07103148 0.19302647] and [4.10583468e-05 9.09009037e-04]
For the problem WO, in                   step 106, we get objective [[-3.07302887]] and constraints                   [[-0.73469214  4.12685264]].
Obj mean and sd ranges: 1.3342943362124153 and 0.014384649192838328
Constrs mean and sd ranges: [0.06658216 1.20242659] and [0.00071309 0.01578744]
For the problem WO, in                   step 107, we get objective [[-8.47252393]] and constraints                   [[ 0.15555954 -5.68001897]].
Obj mean and sd ranges: 0.1756906858283676 and 0.030389985876094094
Constrs mean and sd ranges: [0.19696842 1.12757218] and [0.00150652 0.03335361]
For the problem WO, in                   step 108, we get objective [[0.45624283]] and constraints                   [[-0.71960821  4.11220383]].
Obj mean and sd ranges: 1.2399826162720125 and 0.09244784039407505
Constrs mean and sd ranges: [0.52339693 0.2669661 ] and [0.00458292 0.10146333]
For the problem WO, in                   step 109, we get objective [[-4.59177454]] and constraints                   [[ 0.05241009 -4.35971461]].
Obj mean and sd ranges: 4.687452059145605 and 0.37582592969248707
Constrs mean and sd ranges: [0.6221569  3.76369566] and [0.01863069 0.41247639]
For the problem WO, in                   step 110, we get objective [[17.34423005]] and constraints                   [[0.35343546 7.25919514]].
Obj mean and sd ranges: 0.3739343262199962 and 0.050795156099417094
Constrs mean and sd ranges: [0.03575553 0.59079449] and [0.00251807 0.05574869]
For the problem WO, in                   step 111, we get objective [[-0.57555973]] and constraints                   [[-0.08197347 -1.31082288]].
Obj mean and sd ranges: 0.5667154562084581 and 0.030728759276993367
Constrs mean and sd ranges: [0.06228314 0.91474671] and [0.00152331 0.03372542]
For the problem WO, in                   step 112, we get objective [[3.43553921]] and constraints                   [[ 0.08908973 -4.88274805]].
Obj mean and sd ranges: 0.06103814164742029 and 0.0002922978779285046
Constrs mean and sd ranges: [0.04823904 0.07073708] and [1.44900965e-05 3.20802702e-04]
For the problem WO, in                   step 113, we get objective [[-2.89837939]] and constraints                   [[-0.05791606 -2.97309508]].
Obj mean and sd ranges: 2.1191748205835617 and 0.03722448258933864
Constrs mean and sd ranges: [0.03427478 0.51422266] and [0.00184533 0.04085461]
For the problem WO, in                   step 114, we get objective [[-5.8473664]] and constraints                   [[-0.06299081 -1.36458121]].
Obj mean and sd ranges: 6.299944125655545 and 0.960440146145691
Constrs mean and sd ranges: [1.20007827 4.35309642] and [0.04738427 1.0541207 ]
For the problem WO, in                   step 115, we get objective [[21.82140084]] and constraints                   [[0.17889235 7.94076527]].
Obj mean and sd ranges: 0.15594904144192626 and 0.0004936072453528562
Constrs mean and sd ranges: [0.04070228 0.01914175] and [2.44696153e-05 5.41743714e-04]
For the problem WO, in                   step 116, we get objective [[-3.42595752]] and constraints                   [[ 0.03631336 -4.09733233]].
Obj mean and sd ranges: 1.199129227133035 and 0.19166887715196745
Constrs mean and sd ranges: [0.68159421 1.64831521] and [0.00950158 0.21036038]
For the problem WO, in                   step 117, we get objective [[-4.08646347]] and constraints                   [[ 0.72199661 -7.88863879]].
Obj mean and sd ranges: 0.9650850487358782 and 0.005074306681347784
Constrs mean and sd ranges: [0.1226843  0.25309043] and [0.00025155 0.00556915]
For the problem WO, in                   step 118, we get objective [[4.30963178]] and constraints                   [[ 0.08153124 -4.76920829]].
Obj mean and sd ranges: 0.5455482241117978 and 0.007826400151541901
Constrs mean and sd ranges: [0.0211932  0.72270328] and [0.00038798 0.00858963]
For the problem WO, in                   step 119, we get objective [[-3.88157609]] and constraints                   [[ 0.15560481 -5.69176759]].
Obj mean and sd ranges: 1.7874958979545463 and 0.9637801936050095
Constrs mean and sd ranges: [ 0.53603384 11.09726377] and [0.04754985 1.05778645]
For the problem WO, in                   step 120, we get objective [[0.39996478]] and constraints                   [[-0.7243467  4.1145301]].
Obj mean and sd ranges: 0.2930590305629109 and 0.0006077318772884643
Constrs mean and sd ranges: [0.00364757 0.38922116] and [3.01271205e-05 6.66997755e-04]
For the problem WO, in                   step 121, we get objective [[1.68973848]] and constraints                   [[ 0.06741147 -4.4570156 ]].
Obj mean and sd ranges: 0.0005728990383272426 and 1.734331039948689e-05
Constrs mean and sd ranges: [0.00040746 0.00631948] and [8.59759191e-07 1.90346262e-05]
For the problem WO, in                   step 122, we get objective [[2.01593892]] and constraints                   [[-0.08271742 -1.33272928]].
Obj mean and sd ranges: 4.398887771401213 and 0.06273459260958247
Constrs mean and sd ranges: [0.36703921 2.04052969] and [0.00310994 0.06885246]
For the problem WO, in                   step 123, we get objective [[5.61883946]] and constraints                   [[-0.71412717  4.02490976]].
Obj mean and sd ranges: 0.4042159391870567 and 0.0014241857467771624
Constrs mean and sd ranges: [0.06953934 0.04580077] and [7.06012263e-05 1.56307202e-03]
For the problem WO, in                   step 124, we get objective [[-4.4427329]] and constraints                   [[0.76195546 4.33420445]].
Obj mean and sd ranges: 0.12189121755355253 and 0.04345048390779771
Constrs mean and sd ranges: [0.03002884 0.47226917] and [0.00215398 0.04768777]
For the problem WO, in                   step 125, we get objective [[-1.70348894]] and constraints                   [[-0.0862288  -1.17421556]].
Obj mean and sd ranges: 0.82247866722566 and 0.06605859200239894
Constrs mean and sd ranges: [0.25919258 1.5471227 ] and [0.00327472 0.07250061]
For the problem WO, in                   step 126, we get objective [[-1.87030789]] and constraints                   [[ 0.21300795 -6.43337059]].
Obj mean and sd ranges: 0.6659627773249522 and 0.010570169309031319
Constrs mean and sd ranges: [0.09151104 0.59701316] and [0.000524   0.01160097]
For the problem WO, in                   step 127, we get objective [[8.61994712]] and constraints                   [[ 1.23531862 -0.4807884 ]].
Obj mean and sd ranges: 1.1970326519359198 and 0.1739889650166473
Constrs mean and sd ranges: [0.04575966 2.92146452] and [0.00862514 0.19095633]
For the problem WO, in                   step 128, we get objective [[14.32150426]] and constraints                   [[0.18733436 8.05845849]].
Obj mean and sd ranges: 0.017373458795105774 and 1.5666973965933195e-06
Constrs mean and sd ranges: [0.00312835 0.01427525] and [7.76659647e-08 1.71948138e-06]
For the problem WO, in                   step 129, we get objective [[-5.16551758]] and constraints                   [[ 0.45054842 -9.9865219 ]].
Obj mean and sd ranges: 0.029152294065491243 and 0.00046589148588283
Constrs mean and sd ranges: [0.00169225 0.08384407] and [2.3095651e-05 5.1132512e-04]
For the problem WO, in                   step 130, we get objective [[0.49133808]] and constraints                   [[-0.05650765 -1.59939072]].
Obj mean and sd ranges: 2.438639644027238 and 0.008426482574266259
Constrs mean and sd ranges: [0.03355067 1.19181613] and [0.00041773 0.00924823]
For the problem WO, in                   step 131, we get objective [[6.43107968]] and constraints                   [[ 1.22192022 -0.41770768]].
Obj mean and sd ranges: 0.019755577062770667 and 6.896365568387353e-06
Constrs mean and sd ranges: [0.00179499 0.03804618] and [3.41873857e-07 7.56889761e-06]
For the problem WO, in                   step 132, we get objective [[-5.4298765]] and constraints                   [[-0.71293468  4.10427017]].
Obj mean and sd ranges: 0.7677402656458495 and 0.024430784249178217
Constrs mean and sd ranges: [0.15693878 0.89994076] and [0.00121111 0.02681327]
For the problem WO, in                   step 133, we get objective [[-6.58704135]] and constraints                   [[ 0.20916875 -6.5296166 ]].
Obj mean and sd ranges: 0.6964815101948438 and 0.041377334302503566
Constrs mean and sd ranges: [0.11078312 2.02355424] and [0.0020512  0.04541244]
For the problem WO, in                   step 134, we get objective [[-5.87420422]] and constraints                   [[ 0.29635185 -7.61204713]].
Obj mean and sd ranges: 6.019451708631199 and 0.19983541905585112
Constrs mean and sd ranges: [0.43111447 3.27647452] and [0.00990641 0.21932332]
For the problem WO, in                   step 135, we get objective [[4.01612751]] and constraints                   [[ 0.43901057 -9.64157826]].
Obj mean and sd ranges: 0.04719966553350617 and 0.0001731865920298059
Constrs mean and sd ranges: [0.00379314 0.1239747 ] and [8.58538712e-06 1.90075710e-04]
For the problem WO, in                   step 136, we get objective [[3.74472984]] and constraints                   [[-0.71845578  4.15291675]].
Obj mean and sd ranges: 0.09124940493208519 and 0.000267121003162063
Constrs mean and sd ranges: [0.01833242 0.22803198] and [1.32420021e-05 2.93170584e-04]
For the problem WO, in                   step 137, we get objective [[-0.29331602]] and constraints                   [[ 0.2126506  -6.44432151]].
Obj mean and sd ranges: 0.20998506824729465 and 0.0018455869036776429
Constrs mean and sd ranges: [0.00259808 0.25225652] and [9.14913650e-05 2.02556813e-03]
For the problem WO, in                   step 138, we get objective [[-2.77503049]] and constraints                   [[ 0.04227734 -4.06416458]].
Obj mean and sd ranges: 1.2190620692970988 and 0.021080444906520834
Constrs mean and sd ranges: [0.26906429 0.18665873] and [0.00104502 0.02313621]
For the problem WO, in                   step 139, we get objective [[4.85706788]] and constraints                   [[-0.72473939  4.07720375]].
Obj mean and sd ranges: 6.341964191258448 and 0.3361257930088213
Constrs mean and sd ranges: [0.65919062 3.67597015] and [0.01666268 0.36890471]
For the problem WO, in                   step 140, we get objective [[5.45156893]] and constraints                   [[ 0.38213483 -8.60585441]].
Obj mean and sd ranges: 0.5860934231738263 and 0.07227963711871077
Constrs mean and sd ranges: [0.32480917 1.89407937] and [0.00358313 0.07932833]
For the problem WO, in                   step 141, we get objective [[0.64607103]] and constraints                   [[-0.71545066  4.11503005]].
Obj mean and sd ranges: 0.9199897613978838 and 0.011988278194150825
Constrs mean and sd ranges: [0.00980691 0.20700508] and [0.0005943  0.01315737]
For the problem WO, in                   step 142, we get objective [[-5.81661928]] and constraints                   [[-0.09448464 -1.23393202]].
Obj mean and sd ranges: 1.1616937721393334 and 0.03964554638217199
Constrs mean and sd ranges: [0.21895615 1.13801991] and [0.00196535 0.04351177]
For the problem WO, in                   step 143, we get objective [[-1.9239638]] and constraints                   [[0.34222972 5.71171039]].
Obj mean and sd ranges: 0.3554019963878783 and 0.014682405760879758
Constrs mean and sd ranges: [0.05825284 1.34707116] and [0.00072785 0.01611423]
For the problem WO, in                   step 144, we get objective [[2.18467381]] and constraints                   [[ 0.29434141 -7.59248655]].
Obj mean and sd ranges: 1.8127098707740488 and 0.02050462132725739
Constrs mean and sd ranges: [0.25996467 1.02054723] and [0.00101648 0.02250423]
For the problem WO, in                   step 145, we get objective [[2.05399981]] and constraints                   [[ 0.0211603  -3.99606442]].
Obj mean and sd ranges: 0.40602838022923127 and 0.0049914210950463556
Constrs mean and sd ranges: [0.08556841 0.90771624] and [0.00024744 0.00547818]
For the problem WO, in                   step 146, we get objective [[-2.25007004]] and constraints                   [[-0.71774027  4.13711662]].
Obj mean and sd ranges: 1.1958434852339113 and 0.03508032825995577
Constrs mean and sd ranges: [0.05308303 1.65820798] and [0.00173904 0.03850135]
For the problem WO, in                   step 147, we get objective [[-3.06374443]] and constraints                   [[ 0.1450881  -5.61787927]].
Obj mean and sd ranges: 0.35107578346599677 and 0.001824851198426125
Constrs mean and sd ranges: [0.03385296 0.56697547] and [9.04634329e-05 2.00281028e-03]
For the problem WO, in                   step 148, we get objective [[10.45682562]] and constraints                   [[-0.72929159  4.0227413 ]].
Obj mean and sd ranges: 0.4801592581446929 and 0.011679497902621017
Constrs mean and sd ranges: [0.16009361 0.91324177] and [0.00057899 0.01281848]
For the problem WO, in                   step 149, we get objective [[-7.5019141]] and constraints                   [[ 0.21321275 -6.35530096]].
Obj mean and sd ranges: 2.468749061745817 and 0.04945822856651094
Constrs mean and sd ranges: [0.04005964 0.53978662] and [0.00245179 0.05428138]
For the problem WO, in                   step 150, we get objective [[-5.08369136]] and constraints                   [[-0.06549951 -1.32072889]].
Obj mean and sd ranges: 0.0018111786432331088 and 7.223290854341258e-09
Constrs mean and sd ranges: [1.98122558e-05 1.19807013e-03] and [3.58080537e-10 7.92770471e-09]
For the problem WO, in                   step 151, we get objective [[-2.94578694]] and constraints                   [[ 0.18566971 -6.03277887]].
Obj mean and sd ranges: 0.018878223824374415 and 1.745960934906865e-05
Constrs mean and sd ranges: [0.0053333  0.03278713] and [8.65526004e-07 1.91622666e-05]
For the problem WO, in                   step 152, we get objective [[-4.18858886]] and constraints                   [[-0.72317806  4.13032814]].
Obj mean and sd ranges: 2.278671807311419 and 0.006476825829223709
Constrs mean and sd ranges: [0.03863603 1.91106607] and [0.00032108 0.00710844]
For the problem WO, in                   step 153, we get objective [[5.91120904]] and constraints                   [[ 0.41028341 -9.21113099]].
Obj mean and sd ranges: 1.2468903023833593 and 0.046867322335683914
Constrs mean and sd ranges: [0.20513293 2.44355324] and [0.00232335 0.05143781]
For the problem WO, in                   step 154, we get objective [[-4.04893749]] and constraints                   [[ 0.04214792 -4.13512648]].
Obj mean and sd ranges: 0.048781688224860106 and 5.711160895160994e-05
Constrs mean and sd ranges: [0.00930249 0.13213617] and [2.83119649e-06 6.26811204e-05]
For the problem WO, in                   step 155, we get objective [[2.90023604]] and constraints                   [[-0.29544627  0.12668648]].
Obj mean and sd ranges: 0.05546454156608764 and 2.7031424799650594e-05
Constrs mean and sd ranges: [0.00045855 0.03362391] and [1.34002761e-06 2.96675234e-05]
For the problem WO, in                   step 156, we get objective [[-4.63523318]] and constraints                   [[-0.01673482 -3.29152535]].
Obj mean and sd ranges: 1.1597098554175087 and 0.9637979941910416
Constrs mean and sd ranges: [0.06377196 4.43606403] and [0.04755073 1.057806  ]
For the problem WO, in                   step 157, we get objective [[0.45733117]] and constraints                   [[-0.01384815  2.45783927]].
Obj mean and sd ranges: 1.2816576281977397 and 0.0031667220982559696
Constrs mean and sd ranges: [0.02837965 0.59285235] and [0.00015698 0.00347554]
For the problem WO, in                   step 158, we get objective [[0.64323978]] and constraints                   [[ 0.35309849 -8.351051  ]].
Obj mean and sd ranges: 3.7626517459791473 and 0.9633746509066308
Constrs mean and sd ranges: [0.21633052 6.02850022] and [0.04752974 1.05734137]
For the problem WO, in                   step 159, we get objective [[-3.95863185]] and constraints                   [[ 0.01081611 -3.85170216]].
Obj mean and sd ranges: 0.9949816630693499 and 0.061309280013251644
Constrs mean and sd ranges: [0.36143495 2.66405443] and [0.00303929 0.06728815]
For the problem WO, in                   step 160, we get objective [[1.25749504]] and constraints                   [[-0.7479222   4.14351837]].
Obj mean and sd ranges: 0.7943846695179475 and 0.008863049490268282
Constrs mean and sd ranges: [0.01716261 0.22469688] and [0.00043937 0.00972737]
For the problem WO, in                   step 161, we get objective [[-3.93141564]] and constraints                   [[-0.09170461 -1.25259885]].
Obj mean and sd ranges: 0.2749743342078304 and 0.0012406889395032428
Constrs mean and sd ranges: [0.02833108 0.54855978] and [6.15047302e-05 1.36168065e-03]
For the problem WO, in                   step 162, we get objective [[-4.00257168]] and constraints                   [[  0.44830237 -10.05632253]].
Obj mean and sd ranges: 5.822616369044703 and 0.9626537015867723
Constrs mean and sd ranges: [1.37747473 1.41971173] and [0.047494   1.05655012]
For the problem WO, in                   step 163, we get objective [[3.51295284]] and constraints                   [[-0.72541962  4.13369454]].
Obj mean and sd ranges: 3.3357630024592333 and 0.9638239810396116
Constrs mean and sd ranges: [0.15961134 5.6036142 ] and [0.04755202 1.05783452]
For the problem WO, in                   step 164, we get objective [[-3.23584111]] and constraints                   [[ 0.19445698 -6.39420822]].
Obj mean and sd ranges: 0.21399956599595427 and 0.005690606163708201
Constrs mean and sd ranges: [0.09371153 0.52672483] and [0.0002821  0.00624555]
For the problem WO, in                   step 165, we get objective [[3.05945972]] and constraints                   [[-0.72185699  4.05475718]].
Obj mean and sd ranges: 0.5751973377176391 and 0.9638264366011225
Constrs mean and sd ranges: [0.08192118 1.30999702] and [0.04755214 1.05783722]
For the problem WO, in                   step 166, we get objective [[-0.33289095]] and constraints                   [[ 0.28793054 -1.20138335]].
Obj mean and sd ranges: 0.16708709493140572 and 0.0021810084811934027
Constrs mean and sd ranges: [0.06430417 0.52010776] and [0.00010812 0.0023937 ]
For the problem WO, in                   step 167, we get objective [[-0.21526585]] and constraints                   [[  0.50196502 -10.70413103]].
Obj mean and sd ranges: 0.15059563753199925 and 0.0005222808202645091
Constrs mean and sd ranges: [0.03921596 0.57225694] and [2.58910511e-05 5.73213530e-04]
For the problem WO, in                   step 168, we get objective [[-1.79300099]] and constraints                   [[-0.71856304  4.12414387]].
Obj mean and sd ranges: 0.6521009021594126 and 0.08521319114172088
Constrs mean and sd ranges: [0.4006943  2.29807869] and [0.00422428 0.09352316]
For the problem WO, in                   step 169, we get objective [[-2.37669892]] and constraints                   [[ 0.21812861 -6.40040858]].
Obj mean and sd ranges: 0.9554536952544379 and 0.010898806024877805
Constrs mean and sd ranges: [0.10917761 2.16329983] and [0.00054029 0.01196166]
For the problem WO, in                   step 170, we get objective [[-2.53267093]] and constraints                   [[-0.70784339  4.16607608]].
Obj mean and sd ranges: 1.3292441312920953 and 0.015349314609552911
Constrs mean and sd ranges: [0.02397161 1.514912  ] and [0.00076091 0.01684618]
For the problem WO, in                   step 171, we get objective [[-2.12048856]] and constraints                   [[ 0.12906086 -5.30712084]].
Obj mean and sd ranges: 0.06382883793213168 and 0.028505461285039058
Constrs mean and sd ranges: [0.10622002 2.46667751] and [0.0014131  0.03128531]
For the problem WO, in                   step 172, we get objective [[1.76479676]] and constraints                   [[-0.70858967  4.29290577]].
Obj mean and sd ranges: 4.842915502841184 and 0.9638264366016219
Constrs mean and sd ranges: [0.09161495 1.2266992 ] and [0.04755214 1.05783722]
For the problem WO, in                   step 173, we get objective [[-5.03289927]] and constraints                   [[ 0.27463616 -0.14192308]].
Obj mean and sd ranges: 0.12617522017508198 and 0.0003064924364076793
Constrs mean and sd ranges: [0.044669   0.19665296] and [1.51937640e-05 3.36381511e-04]
For the problem WO, in                   step 174, we get objective [[-1.10099569]] and constraints                   [[ 0.34636243 -8.47886269]].
Obj mean and sd ranges: 0.0020309017739000915 and 2.974508939712628e-06
Constrs mean and sd ranges: [0.00152859 0.00353687] and [1.47455432e-07 3.26458239e-06]
For the problem WO, in                   step 175, we get objective [[1.36145329]] and constraints                   [[-0.29957861 -0.04518103]].
Obj mean and sd ranges: 5.866002130058394 and 0.9599758077274674
Constrs mean and sd ranges: [ 0.98587327 10.05809464] and [0.04736125 1.05361108]
For the problem WO, in                   step 176, we get objective [[5.60058135]] and constraints                   [[-0.72470179  4.18504215]].
Obj mean and sd ranges: 0.6744000848623939 and 0.009507408339024526
Constrs mean and sd ranges: [0.15028975 0.98143534] and [0.00047131 0.01043457]
For the problem WO, in                   step 177, we get objective [[-7.96737022]] and constraints                   [[ 0.20667084 -6.44959764]].
Obj mean and sd ranges: 0.10075325901619235 and 0.0032062394186535004
Constrs mean and sd ranges: [0.02518985 0.02576477] and [0.00015894 0.00351891]
For the problem WO, in                   step 178, we get objective [[1.58131175]] and constraints                   [[-0.25981365 -0.32407896]].
Obj mean and sd ranges: 0.03286991373416198 and 0.00014557020599370585
Constrs mean and sd ranges: [0.00123726 0.06718171] and [7.21633128e-06 1.59766180e-04]
For the problem WO, in                   step 179, we get objective [[11.17247327]] and constraints                   [[ 1.23405612 -0.64837893]].
Obj mean and sd ranges: 1.7027351105578692 and 0.9638245535361772
Constrs mean and sd ranges: [0.14586474 1.17284301] and [0.04755205 1.05783515]
For the problem WO, in                   step 180, we get objective [[-1.30760518]] and constraints                   [[-0.30660462  0.0278707 ]].
Obj mean and sd ranges: 1.5826835727537254 and 0.06793768902286634
Constrs mean and sd ranges: [0.17232074 2.6196803 ] and [0.00336788 0.07456296]
For the problem WO, in                   step 181, we get objective [[-3.15526764]] and constraints                   [[ 0.06953393 -4.50111937]].
Obj mean and sd ranges: 1.625405885540729 and 0.18387023620093745
Constrs mean and sd ranges: [0.10904413 3.32391481] and [0.00911497 0.20180122]
For the problem WO, in                   step 182, we get objective [[-2.29434378]] and constraints                   [[ 0.08567722 -4.78548461]].
Obj mean and sd ranges: 3.4113249992300574 and 0.013048741680069975
Constrs mean and sd ranges: [0.03129803 1.33711429] and [0.00064687 0.01432125]
For the problem WO, in                   step 183, we get objective [[8.08560118]] and constraints                   [[ 1.22831885 -0.58294037]].
Obj mean and sd ranges: 0.38968462254248704 and 0.015201178903118562
Constrs mean and sd ranges: [0.23191997 0.13335577] and [0.00075357 0.01668359]
For the problem WO, in                   step 184, we get objective [[-4.96639329]] and constraints                   [[-0.16885307 -1.45282652]].
Obj mean and sd ranges: 3.0061650871049275 and 0.06396731192124994
Constrs mean and sd ranges: [0.49057334 0.41244837] and [0.00317105 0.07020539]
For the problem WO, in                   step 185, we get objective [[4.55095775]] and constraints                   [[-0.36583431  0.73459049]].
Obj mean and sd ranges: 0.256389702665413 and 0.01928184287246637
Constrs mean and sd ranges: [0.01272556 0.6503908 ] and [0.00095586 0.0211622 ]
For the problem WO, in                   step 186, we get objective [[0.88085449]] and constraints                   [[ 0.0420811  -4.02117009]].
Obj mean and sd ranges: 0.23476747708853002 and 0.009024930980055634
Constrs mean and sd ranges: [0.11018463 2.01908907] and [0.00044739 0.00990504]
For the problem WO, in                   step 187, we get objective [[2.13847971]] and constraints                   [[-0.73168331  4.14336006]].
Obj mean and sd ranges: 1.965957868223494 and 0.08760516368278148
Constrs mean and sd ranges: [0.30620071 1.35750163] and [0.00434285 0.0961484 ]
For the problem WO, in                   step 188, we get objective [[-6.09842374]] and constraints                   [[  0.69965321 -13.93174973]].
Obj mean and sd ranges: 0.48799713757676344 and 0.08361237283341738
Constrs mean and sd ranges: [0.04040413 0.73130627] and [0.00414491 0.09176623]
For the problem WO, in                   step 189, we get objective [[-2.15799821]] and constraints                   [[-0.08827192 -1.2427423 ]].
Obj mean and sd ranges: 0.7489667979093833 and 0.008523675688377974
Constrs mean and sd ranges: [0.02846566 1.28407243] and [0.00042254 0.0093549 ]
For the problem WO, in                   step 190, we get objective [[6.34949078]] and constraints                   [[ 1.22594262 -0.49290627]].
Obj mean and sd ranges: 0.5461444675607526 and 0.007217050153328075
Constrs mean and sd ranges: [0.01057179 0.55678644] and [0.00035777 0.00792086]
For the problem WO, in                   step 191, we get objective [[24.25963853]] and constraints                   [[0.18354009 8.07042527]].
Obj mean and sd ranges: 8.643888368224433 and 0.9636149875952617
Constrs mean and sd ranges: [1.21791832 0.98489088] and [0.04754166 1.05760515]
For the problem WO, in                   step 192, we get objective [[3.13673985]] and constraints                   [[ 0.03707311 -3.99017566]].
Obj mean and sd ranges: 1.7450909241346508 and 0.2031978700988879
Constrs mean and sd ranges: [0.07394943 3.64348146] and [0.01007313 0.22301368]
For the problem WO, in                   step 193, we get objective [[-2.83229552]] and constraints                   [[ 0.11877355 -5.21792573]].
Obj mean and sd ranges: 3.905670875596985 and 0.26005270791374735
Constrs mean and sd ranges: [0.28325119 7.04514804] and [0.01289155 0.28541299]
For the problem WO, in                   step 194, we get objective [[12.33909032]] and constraints                   [[ 1.22598171 -0.47542867]].
Obj mean and sd ranges: 0.9412461821624848 and 0.05087164629797791
Constrs mean and sd ranges: [0.10699619 2.73992601] and [0.00252186 0.05583264]
For the problem WO, in                   step 195, we get objective [[0.49291856]] and constraints                   [[-0.73075073  4.17586564]].
Obj mean and sd ranges: 1.510907740257365 and 0.06591548549014137
Constrs mean and sd ranges: [0.26282044 1.54807947] and [0.00326763 0.07234355]
For the problem WO, in                   step 196, we get objective [[-7.5252184]] and constraints                   [[ 0.21145945 -6.43738938]].
Obj mean and sd ranges: 0.0194014053267155 and 4.358824747030532e-06
Constrs mean and sd ranges: [0.00432017 0.04807611] and [2.16080218e-07 4.78389637e-06]
For the problem WO, in                   step 197, we get objective [[-6.19042879]] and constraints                   [[-0.615099    3.25058154]].
Obj mean and sd ranges: 3.030520915198058 and 0.22102974412380216
Constrs mean and sd ranges: [0.93996414 1.19831131] and [0.01095708 0.24258452]
For the problem WO, in                   step 198, we get objective [[-6.09993989]] and constraints                   [[ 0.07653176 -4.42829113]].
Obj mean and sd ranges: 6.466054659668935 and 0.40389692078786565
Constrs mean and sd ranges: [0.90892675 6.77602744] and [0.02002235 0.44328486]
For the problem WO, in                   step 199, we get objective [[5.5652317]] and constraints                   [[-0.72332421  4.09926043]].
Obj mean and sd ranges: 1.355616221749569 and 0.034296514060537464
Constrs mean and sd ranges: [0.07592708 2.81268372] and [0.00170018 0.0376411 ]
For the problem WO, in                   step 200, we get objective [[-6.66672189]] and constraints                   [[ 0.3023508 -7.7085318]].
Obj mean and sd ranges: 0.07738825884490155 and 0.0011320105296583893
Constrs mean and sd ranges: [0.00488155 0.19608184] and [5.61171619e-05 1.24240395e-03]
For the problem WO, in                   step 201, we get objective [[-2.90160323]] and constraints                   [[ 0.09217935 -4.79672481]].
Obj mean and sd ranges: 3.0386186704087246 and 0.9635887092859363
Constrs mean and sd ranges: [0.12618609 5.81494094] and [0.04754035 1.05757631]
For the problem WO, in                   step 202, we get objective [[0.61159358]] and constraints                   [[0.99193134 1.73024795]].
Obj mean and sd ranges: 0.060260544651658116 and 0.0004909956636113266
Constrs mean and sd ranges: [0.01893635 0.10595827] and [2.43401005e-05 5.38877452e-04]
For the problem WO, in                   step 203, we get objective [[0.7083674]] and constraints                   [[ 0.03629956 -3.26938533]].
Obj mean and sd ranges: 3.806158245547457 and 0.27689819257408854
Constrs mean and sd ranges: [0.50155017 2.90720663] and [0.01372662 0.30390124]
For the problem WO, in                   step 204, we get objective [[-5.010773]] and constraints                   [[-0.71938595  4.10754848]].
Obj mean and sd ranges: 0.5927797432876708 and 0.04457386792776741
Constrs mean and sd ranges: [0.37415366 4.66578029] and [0.00220966 0.0489207 ]
For the problem WO, in                   step 205, we get objective [[-2.84658358]] and constraints                   [[  0.48747766 -10.77100282]].
Obj mean and sd ranges: 0.013773372498099101 and 8.78073717058836e-06
Constrs mean and sd ranges: [0.00338878 0.0173591 ] and [4.35287890e-07 9.63703271e-06]
For the problem WO, in                   step 206, we get objective [[1.3435075]] and constraints                   [[-0.71290051  4.08550786]].
Obj mean and sd ranges: 0.272261597424621 and 0.9637979614680716
Constrs mean and sd ranges: [0.08196469 4.41554265] and [0.04755073 1.05780597]
For the problem WO, in                   step 207, we get objective [[0.17193712]] and constraints                   [[ 0.48122115 -0.81434356]].
Obj mean and sd ranges: 0.2692647989112664 and 0.004595650126074324
Constrs mean and sd ranges: [0.02661647 0.7280398 ] and [0.00022782 0.00504382]
For the problem WO, in                   step 208, we get objective [[-3.36630786]] and constraints                   [[ 0.21111129 -6.53196115]].
Obj mean and sd ranges: 1.6613987651202073 and 0.14464659570878968
Constrs mean and sd ranges: [0.3054878  5.20776582] and [0.00717056 0.1587525 ]
For the problem WO, in                   step 209, we get objective [[1.33918611]] and constraints                   [[-0.72139567  4.12008516]].
Obj mean and sd ranges: 6.1837085164213 and 0.963826382797793
Constrs mean and sd ranges: [0.61802582 3.29130756] and [0.04755214 1.05783716]
For the problem WO, in                   step 210, we get objective [[-6.25102377]] and constraints                   [[  0.68404776 -14.04714919]].
Obj mean and sd ranges: 0.002960235076936238 and 1.311205086063083e-06
Constrs mean and sd ranges: [0.00093325 0.00319592] and [6.50004062e-08 1.43907351e-06]
For the problem WO, in                   step 211, we get objective [[3.08990267]] and constraints                   [[-0.23933273 -0.09498301]].
Obj mean and sd ranges: 0.8198036557775198 and 0.010782181446625572
Constrs mean and sd ranges: [0.13682998 2.66785429] and [0.00053451 0.01183366]
For the problem WO, in                   step 212, we get objective [[-5.45529093]] and constraints                   [[-0.66067855  3.6258077 ]].
Obj mean and sd ranges: 0.0064841211509557815 and 5.859094675542131e-06
Constrs mean and sd ranges: [0.00491676 0.0068676 ] and [2.90453182e-07 6.43047229e-06]
For the problem WO, in                   step 213, we get objective [[-1.43883729]] and constraints                   [[-0.04187234 -2.8960446 ]].
Obj mean and sd ranges: 1.5254405114800706 and 0.02082040196525048
Constrs mean and sd ranges: [0.32495729 1.31184701] and [0.00103213 0.0228508 ]
For the problem WO, in                   step 214, we get objective [[-4.88824604]] and constraints                   [[ 0.06745222 -4.39304584]].
Obj mean and sd ranges: 2.4623430924658702 and 0.963730013146586
Constrs mean and sd ranges: [0.45361364 9.79318581] and [0.04754736 1.05773139]
For the problem WO, in                   step 215, we get objective [[-0.20342885]] and constraints                   [[-0.71716897  4.17152394]].
Obj mean and sd ranges: 1.0391972125984938 and 0.0042241164436868095
Constrs mean and sd ranges: [0.04281508 0.98144942] and [0.0002094  0.00463605]
For the problem WO, in                   step 216, we get objective [[-7.65153121]] and constraints                   [[ 0.22543418 -6.32621013]].
Obj mean and sd ranges: 3.1507997288929337 and 0.9637946139307965
Constrs mean and sd ranges: [0.1727709 4.5396408] and [0.04755056 1.05780229]
For the problem WO, in                   step 217, we get objective [[0.80252205]] and constraints                   [[0.73573252 3.28725262]].
Obj mean and sd ranges: 2.8590310056981485 and 0.9636118324867871
Constrs mean and sd ranges: [0.09942809 2.95007045] and [0.0475415  1.05760168]
For the problem WO, in                   step 218, we get objective [[-2.72201995]] and constraints                   [[-0.14566204 -1.8187253 ]].
Obj mean and sd ranges: 0.008042320042039615 and 0.0004274577895081455
Constrs mean and sd ranges: [0.01838841 0.14776297] and [2.11903852e-05 4.69143378e-04]
For the problem WO, in                   step 219, we get objective [[-4.94815124]] and constraints                   [[ 0.41460621 -9.68905975]].
Obj mean and sd ranges: 10.314378373566344 and 0.963758752825582
Constrs mean and sd ranges: [0.74374316 4.51467444] and [0.04754878 1.05776293]
For the problem WO, in                   step 220, we get objective [[19.42515999]] and constraints                   [[0.68892245 5.00637966]].
Obj mean and sd ranges: 0.2564300523355748 and 0.0008331078426729865
Constrs mean and sd ranges: [0.02103179 0.44421518] and [4.12996904e-05 9.14352334e-04]
For the problem WO, in                   step 221, we get objective [[6.03735912]] and constraints                   [[ 0.39694402 -9.31175453]].
Obj mean and sd ranges: 1.1479080002108293 and 0.06588390207226014
Constrs mean and sd ranges: [0.05038178 2.23982538] and [0.00326606 0.07230889]
For the problem WO, in                   step 222, we get objective [[-3.27067726]] and constraints                   [[ 0.03046015 -4.05514454]].
Obj mean and sd ranges: 1.973878973982932 and 0.036385353694480926
Constrs mean and sd ranges: [0.23302217 2.698769  ] and [0.00180373 0.03993365]
For the problem WO, in                   step 223, we get objective [[8.36640029]] and constraints                   [[-0.74018057  4.14872831]].
Obj mean and sd ranges: 1.046637270911614 and 0.010840294282458474
Constrs mean and sd ranges: [0.02030245 0.74560347] and [0.00053739 0.01189744]
For the problem WO, in                   step 224, we get objective [[-7.35465454]] and constraints                   [[ 0.14830808 -5.66914312]].
Obj mean and sd ranges: 5.955962273290211 and 0.9632149644350202
Constrs mean and sd ranges: [1.2309971  1.33741031] and [0.04752183 1.05716611]
For the problem WO, in                   step 225, we get objective [[10.04825096]] and constraints                   [[0.60967104 5.44341161]].
Obj mean and sd ranges: 2.098516495673586 and 0.13223821405673442
Constrs mean and sd ranges: [0.75729988 2.56430229] and [0.00655544 0.14513406]
For the problem WO, in                   step 226, we get objective [[-6.7877114]] and constraints                   [[ 0.06821264 -4.50316086]].
Obj mean and sd ranges: 5.707835722531218 and 0.9638264366011368
Constrs mean and sd ranges: [0.0868679  1.21414193] and [0.04755214 1.05783722]
For the problem WO, in                   step 227, we get objective [[-5.01234693]] and constraints                   [[0.19739342 2.331845  ]].
Obj mean and sd ranges: 3.272629752300669 and 0.18272783418761107
Constrs mean and sd ranges: [0.45509905 2.64126553] and [0.00905841 0.20054741]
For the problem WO, in                   step 228, we get objective [[-8.43037808]] and constraints                   [[ 0.231464  -6.4336847]].
Obj mean and sd ranges: 1.3112551320797883 and 0.3253956199338428
Constrs mean and sd ranges: [0.56285216 3.50973402] and [0.01613075 0.35712813]
For the problem WO, in                   step 229, we get objective [[-1.19838389]] and constraints                   [[-0.71968833  4.13660543]].
Obj mean and sd ranges: 1.908122671307194 and 0.27923185994583277
Constrs mean and sd ranges: [0.66604233 4.8692174 ] and [0.01384233 0.30646249]
For the problem WO, in                   step 230, we get objective [[-1.43613756]] and constraints                   [[ 0.20582561 -6.37511726]].
Obj mean and sd ranges: 0.38262323941628007 and 0.002448967789626222
Constrs mean and sd ranges: [0.00781379 0.10984045] and [0.0001214  0.00268779]
For the problem WO, in                   step 231, we get objective [[-4.03519003]] and constraints                   [[-0.09509183 -1.23714014]].
Obj mean and sd ranges: 0.011236268889774616 and 2.544436476625833e-06
Constrs mean and sd ranges: [0.00102613 0.00886486] and [1.26135477e-07 2.79256936e-06]
For the problem WO, in                   step 232, we get objective [[-6.35358468]] and constraints                   [[-0.06824505 -2.51525759]].
Obj mean and sd ranges: 0.32677571585398274 and 0.21076818658309093
Constrs mean and sd ranges: [0.56236468 3.30215606] and [0.01044842 0.23132225]
For the problem WO, in                   step 233, we get objective [[-0.02484492]] and constraints                   [[-0.73010691  4.07756288]].
Obj mean and sd ranges: 3.4621233596431336 and 0.20060723207495856
Constrs mean and sd ranges: [0.06973975 3.9969189 ] and [0.00994469 0.2201704 ]
For the problem WO, in                   step 234, we get objective [[4.73854845]] and constraints                   [[ 0.09547104 -4.87362014]].
Obj mean and sd ranges: 0.22185446246172186 and 0.004969642654252593
Constrs mean and sd ranges: [0.10951603 0.74031012] and [0.00024636 0.00545428]
For the problem WO, in                   step 235, we get objective [[2.65873285]] and constraints                   [[-0.72124425  4.15906332]].
Obj mean and sd ranges: 0.31030329868527906 and 0.006438924325347872
Constrs mean and sd ranges: [0.09128085 0.53184366] and [0.0003192  0.00706685]
For the problem WO, in                   step 236, we get objective [[0.54635877]] and constraints                   [[-0.06921759 -2.49954573]].
Obj mean and sd ranges: 5.083767169833886 and 0.9638264003123012
Constrs mean and sd ranges: [0.26585947 3.45787267] and [0.04755214 1.05783718]
For the problem WO, in                   step 237, we get objective [[-5.16610603]] and constraints                   [[ 0.00461478 -3.6850282 ]].
Obj mean and sd ranges: 0.191352174962545 and 0.022488533297588154
Constrs mean and sd ranges: [0.10089069 0.77088562] and [0.00111482 0.02468161]
For the problem WO, in                   step 238, we get objective [[0.27183359]] and constraints                   [[-0.72493009  4.12690278]].
Obj mean and sd ranges: 1.7686791187715496 and 0.1780775577710103
Constrs mean and sd ranges: [0.03811523 2.19990235] and [0.00882781 0.19544364]
For the problem WO, in                   step 239, we get objective [[-3.90886952]] and constraints                   [[ 0.08406483 -4.47055816]].
Obj mean and sd ranges: 0.21948917864480447 and 0.003292054967047653
Constrs mean and sd ranges: [0.03390546 0.834999  ] and [0.0001632 0.0036131]
For the problem WO, in                   step 240, we get objective [[5.99665553]] and constraints                   [[-0.72491763  4.14302249]].
Obj mean and sd ranges: 2.8375240502247587 and 0.08037871615273995
Constrs mean and sd ranges: [0.27819586 0.99315997] and [0.00398462 0.08821723]
For the problem WO, in                   step 241, we get objective [[-5.13552092]] and constraints                   [[-0.24058359 -0.73341326]].
Obj mean and sd ranges: 1.1356048283020372 and 0.0034720501002807325
Constrs mean and sd ranges: [0.15536382 1.0121783 ] and [0.00017212 0.00381064]
For the problem WO, in                   step 242, we get objective [[-7.28150068]] and constraints                   [[  0.73309928 -13.0876714 ]].
Obj mean and sd ranges: 0.02651237507926034 and 0.0010789720257128321
Constrs mean and sd ranges: [0.01381392 0.22639237] and [5.34879298e-05 1.18419314e-03]
For the problem WO, in                   step 243, we get objective [[4.44147496]] and constraints                   [[-0.72631689  4.14046419]].
Obj mean and sd ranges: 1.5060580828654564 and 0.333747804522469
Constrs mean and sd ranges: [0.48000177 2.76611009] and [0.01654477 0.36629482]
For the problem WO, in                   step 244, we get objective [[-0.02384216]] and constraints                   [[ 0.150975  -5.5738263]].
Obj mean and sd ranges: 1.8879475412067024 and 0.03888947329500836
Constrs mean and sd ranges: [0.25389646 1.40630736] and [0.00192787 0.04268197]
For the problem WO, in                   step 245, we get objective [[5.1465788]] and constraints                   [[-0.72666647  4.09744999]].
Obj mean and sd ranges: 0.5022668401287831 and 0.0003446087392019459
Constrs mean and sd ranges: [0.01161194 0.42137222] and [1.70833059e-05 3.78214907e-04]
For the problem WO, in                   step 246, we get objective [[-0.29977265]] and constraints                   [[ 0.28884952 -7.58571691]].
Obj mean and sd ranges: 1.7084011056515906 and 0.9638243551596652
Constrs mean and sd ranges: [0.52789913 2.57931185] and [0.04755204 1.05783493]
For the problem WO, in                   step 247, we get objective [[1.67409342]] and constraints                   [[0.03826    3.99200874]].
Obj mean and sd ranges: 2.904658158154215 and 0.3541181157915687
Constrs mean and sd ranges: [0.55840973 3.29941865] and [0.01755459 0.38865164]
For the problem WO, in                   step 248, we get objective [[1.50046956]] and constraints                   [[ 0.19789861 -6.4849678 ]].
Obj mean and sd ranges: 0.005421367073442836 and 7.165331075698056e-06
Constrs mean and sd ranges: [0.00179786 0.02513311] and [3.55207469e-07 7.86409257e-06]
For the problem WO, in                   step 249, we get objective [[0.36098194]] and constraints                   [[-0.27009516 -0.3213325 ]].
Obj mean and sd ranges: 4.35794212321888 and 0.18524052535007318
Constrs mean and sd ranges: [0.21358007 4.41608778] and [0.00918291 0.20330514]
For the problem WO, in                   step 250, we get objective [[-7.95955786]] and constraints                   [[ 0.21110971 -6.41132007]].
Obj mean and sd ranges: 2.1637781403388083 and 0.04233257133575741
Constrs mean and sd ranges: [0.53603784 2.59919195] and [0.00209856 0.04646083]
For the problem WO, in                   step 251, we get objective [[6.22669658]] and constraints                   [[-0.72943893  4.05981107]].
Obj mean and sd ranges: 1.3448967172211006 and 0.9638266206413286
Constrs mean and sd ranges: [0.71333812 4.08574022] and [0.04755215 1.05783742]
For the problem WO, in                   step 252, we get objective [[-1.23336855]] and constraints                   [[ 0.36887844 -8.76980704]].
Obj mean and sd ranges: 0.8656628382771611 and 0.004315103558311106
Constrs mean and sd ranges: [0.15018619 0.24637468] and [0.00021391 0.00473591]
For the problem WO, in                   step 253, we get objective [[-5.6074563]] and constraints                   [[-0.73114354  4.20892152]].
Obj mean and sd ranges: 0.7774021182274726 and 0.0445825928162904
Constrs mean and sd ranges: [0.02355877 1.65998913] and [0.00221009 0.04893028]
For the problem WO, in                   step 254, we get objective [[3.16783293]] and constraints                   [[ 0.06411326 -4.40344239]].
Obj mean and sd ranges: 1.3452294763533112 and 0.08719408899560932
Constrs mean and sd ranges: [0.04478725 0.56002465] and [0.00432246 0.09569724]
For the problem WO, in                   step 255, we get objective [[-3.25157206]] and constraints                   [[-0.11051944 -1.58187001]].
Obj mean and sd ranges: 5.735521660069808 and 0.04213559220903429
Constrs mean and sd ranges: [0.09459087 3.86585513] and [0.00208879 0.04624465]
For the problem WO, in                   step 256, we get objective [[12.43700049]] and constraints                   [[0.69520943 4.84140407]].
Obj mean and sd ranges: 0.107545616178356 and 0.003306262177237951
Constrs mean and sd ranges: [0.01125667 0.4322461 ] and [0.0001639  0.00362869]
For the problem WO, in                   step 257, we get objective [[-0.57858065]] and constraints                   [[ 0.1266255  -5.22511373]].
Obj mean and sd ranges: 0.10538951318329025 and 0.00015074547193627552
Constrs mean and sd ranges: [0.01268916 0.17002002] and [7.47272624e-06 1.65446138e-04]
For the problem WO, in                   step 258, we get objective [[-1.22736554]] and constraints                   [[-0.25998042 -0.33704976]].
Obj mean and sd ranges: 0.024086015055657793 and 0.0002626522665855058
Constrs mean and sd ranges: [0.00197439 0.11270623] and [1.30204731e-05 2.88266057e-04]
For the problem WO, in                   step 259, we get objective [[11.11267174]] and constraints                   [[0.14848782 8.02270303]].
Obj mean and sd ranges: 3.206792808471762 and 0.2185863832860211
Constrs mean and sd ranges: [0.1722553  4.64047745] and [0.01083596 0.23990288]
For the problem WO, in                   step 260, we get objective [[-4.04500896]] and constraints                   [[ 0.17808156 -5.51972631]].
Obj mean and sd ranges: 0.5669122147234016 and 0.027729638757575392
Constrs mean and sd ranges: [0.07254673 0.87335085] and [0.00137464 0.03043383]
For the problem WO, in                   step 261, we get objective [[-3.60781134]] and constraints                   [[-0.06641785 -2.31905584]].
Obj mean and sd ranges: 1.9335617808260173 and 0.0778349164159351
Constrs mean and sd ranges: [0.39500766 2.04000473] and [0.00385849 0.08542536]
For the problem WO, in                   step 262, we get objective [[-6.90005554]] and constraints                   [[ 0.07914391 -4.41208888]].
Obj mean and sd ranges: 0.47856674914804226 and 0.0013058805190829803
Constrs mean and sd ranges: [0.08300514 0.14362154] and [6.47364759e-05 1.43322970e-03]
For the problem WO, in                   step 263, we get objective [[-3.43451627]] and constraints                   [[-0.72781653  4.22635443]].
Obj mean and sd ranges: 11.415561312772283 and 0.9403996698066863
Constrs mean and sd ranges: [1.57181892 5.86197496] and [0.0463908  1.03212588]
For the problem WO, in                   step 264, we get objective [[5.61189664]] and constraints                   [[ 0.37873672 -8.73697819]].
Obj mean and sd ranges: 0.029492667619173053 and 4.040264596782972e-05
Constrs mean and sd ranges: [0.00271453 0.05486355] and [2.00288024e-06 4.43427030e-05]
For the problem WO, in                   step 265, we get objective [[22.76063634]] and constraints                   [[0.17653973 7.9007853 ]].
Obj mean and sd ranges: 0.4002768845663838 and 0.006569353558529389
Constrs mean and sd ranges: [0.01476087 0.74270605] and [0.00032566 0.00721   ]
For the problem WO, in                   step 266, we get objective [[3.24602972]] and constraints                   [[ 0.09295514 -4.81304186]].
Obj mean and sd ranges: 0.3067883164095467 and 0.0048275648402096305
Constrs mean and sd ranges: [0.0082398  0.47764302] and [0.00023932 0.00529835]
For the problem WO, in                   step 267, we get objective [[1.06762588]] and constraints                   [[ 0.07425793 -4.42338547]].
Obj mean and sd ranges: 2.6495601075647706 and 0.203743850785021
Constrs mean and sd ranges: [0.6145966  5.46834579] and [0.01010017 0.22361291]
For the problem WO, in                   step 268, we get objective [[-3.51971653]] and constraints                   [[-0.70261023  4.22591838]].
Obj mean and sd ranges: 0.805497362492646 and 0.0291770165129156
Constrs mean and sd ranges: [0.37179635 2.09919353] and [0.0014464  0.03202235]
For the problem WO, in                   step 269, we get objective [[-4.55264339]] and constraints                   [[ 0.57962323 -9.00931812]].
Obj mean and sd ranges: 2.307706350950908 and 0.06815800145777628
Constrs mean and sd ranges: [0.49368115 2.92838129] and [0.0033788  0.07480475]
For the problem WO, in                   step 270, we get objective [[7.05047521]] and constraints                   [[-0.73271787  4.15512643]].
Obj mean and sd ranges: 4.792733698758918 and 0.022482565524118425
Constrs mean and sd ranges: [0.03297972 1.77256251] and [0.00111453 0.02467506]
For the problem WO, in                   step 271, we get objective [[4.44502735]] and constraints                   [[ 0.15675104 -6.01606755]].
Obj mean and sd ranges: 4.983396452166568 and 0.101233691243646
Constrs mean and sd ranges: [0.55051889 0.28924833] and [0.00501846 0.11110598]
For the problem WO, in                   step 272, we get objective [[6.54181834]] and constraints                   [[-0.7257715   4.07766765]].
Obj mean and sd ranges: 2.238854783254137 and 0.9632315485163914
Constrs mean and sd ranges: [0.80827545 5.96893019] and [0.04752265 1.05718432]
For the problem WO, in                   step 273, we get objective [[-0.17611011]] and constraints                   [[ 0.3592891  -8.82887184]].
Obj mean and sd ranges: 0.16323848761281962 and 0.005912470065958297
Constrs mean and sd ranges: [0.00528247 0.06894928] and [0.0002931  0.00648905]
For the problem WO, in                   step 274, we get objective [[-0.96723388]] and constraints                   [[-0.09411203 -1.26993279]].
Obj mean and sd ranges: 4.103275046582948 and 0.13714696911620727
Constrs mean and sd ranges: [0.1868966  4.00243071] and [0.00679881 0.15052151]
For the problem WO, in                   step 275, we get objective [[-7.31494956]] and constraints                   [[ 0.22072964 -6.48185694]].
Obj mean and sd ranges: 0.8187763330560097 and 0.026713487324531826
Constrs mean and sd ranges: [0.24966015 2.33041168] and [0.00132427 0.02931858]
For the problem WO, in                   step 276, we get objective [[3.31255858]] and constraints                   [[-0.74425679  4.15716105]].
Obj mean and sd ranges: 1.6699772099538939 and 0.17777224465017016
Constrs mean and sd ranges: [0.68723079 8.3421782 ] and [0.00881269 0.19510855]
For the problem WO, in                   step 277, we get objective [[-0.41782062]] and constraints                   [[ 0.4021215  -9.16047995]].
Obj mean and sd ranges: 1.758292402752056 and 0.172112496862599
Constrs mean and sd ranges: [0.37957106 5.96477923] and [0.00853212 0.18889687]
For the problem WO, in                   step 278, we get objective [[-0.87519503]] and constraints                   [[-0.71230773  4.06998058]].
Obj mean and sd ranges: 0.27645173972688797 and 0.04335060739588226
Constrs mean and sd ranges: [0.1667274  3.15551968] and [0.00214902 0.04757815]
For the problem WO, in                   step 279, we get objective [[-0.42586505]] and constraints                   [[ 0.43686754 -9.89286543]].
Obj mean and sd ranges: 2.6075055074724665 and 0.06741411528460461
Constrs mean and sd ranges: [0.51212605 7.09510743] and [0.00334192 0.07398832]
For the problem WO, in                   step 280, we get objective [[-7.52055418]] and constraints                   [[-0.63421253  3.17059115]].
Obj mean and sd ranges: 0.18488056815209802 and 0.010527770921935464
Constrs mean and sd ranges: [0.04281743 0.1195396 ] and [0.00052189 0.01155444]
For the problem WO, in                   step 281, we get objective [[-1.4619864]] and constraints                   [[-0.1999045  -1.01865669]].
Obj mean and sd ranges: 2.1950408101658025 and 0.12241126315872486
Constrs mean and sd ranges: [0.11851682 3.72918798] and [0.00606828 0.13434878]
For the problem WO, in                   step 282, we get objective [[-3.1956787]] and constraints                   [[ 0.2336302  -6.82604553]].
Obj mean and sd ranges: 4.604820813616816 and 0.1585353669637093
Constrs mean and sd ranges: [0.48764427 6.21080615] and [0.0078591 0.1739957]
For the problem WO, in                   step 283, we get objective [[-4.79042079]] and constraints                   [[-0.73046015  4.16556006]].
Obj mean and sd ranges: 1.0548321077376515 and 0.021615741882373585
Constrs mean and sd ranges: [0.17624511 0.77860451] and [0.00107156 0.0237237 ]
For the problem WO, in                   step 284, we get objective [[-5.72532978]] and constraints                   [[-0.39167709  1.13135605]].
Obj mean and sd ranges: 4.016715623731893 and 0.2670211336014353
Constrs mean and sd ranges: [0.49897142 9.13775098] and [0.013237   0.29306098]
For the problem WO, in                   step 285, we get objective [[-4.39997664]] and constraints                   [[  0.44072708 -10.00979936]].
Obj mean and sd ranges: 0.09851634110485144 and 2.7296824915423734e-05
Constrs mean and sd ranges: [0.00919709 0.08958394] and [1.35318645e-06 2.99588052e-05]
For the problem WO, in                   step 286, we get objective [[9.72462738]] and constraints                   [[  0.68144491 -13.94092759]].
Obj mean and sd ranges: 0.13077145353202976 and 0.05188860195141565
Constrs mean and sd ranges: [0.08659794 0.17139573] and [0.00257227 0.05694877]
For the problem WO, in                   step 287, we get objective [[0.23428437]] and constraints                   [[-0.27482149 -0.33692858]].
Obj mean and sd ranges: 8.607358334262468 and 0.9599181698482492
Constrs mean and sd ranges: [1.18568298 6.06677832] and [0.0473584  1.05354782]
For the problem WO, in                   step 288, we get objective [[4.68674904]] and constraints                   [[-0.72583834  4.12765369]].
Obj mean and sd ranges: 4.004778846009061 and 0.9637668793141185
Constrs mean and sd ranges: [0.18855428 4.12132818] and [0.04754919 1.05777185]
For the problem WO, in                   step 289, we get objective [[-4.05439266]] and constraints                   [[ 0.19443739 -4.96326639]].
Obj mean and sd ranges: 0.3080923963978355 and 0.24470643277170268
Constrs mean and sd ranges: [0.56719577 2.9950594 ] and [0.01213082 0.26857015]
For the problem WO, in                   step 290, we get objective [[0.29043134]] and constraints                   [[-0.71867537  4.16545454]].
Obj mean and sd ranges: 1.1479558112579369 and 0.05477220289730789
Constrs mean and sd ranges: [0.50757027 1.45148649] and [0.00271522 0.06011358]
For the problem WO, in                   step 291, we get objective [[-5.48415071]] and constraints                   [[ 0.21021875 -6.54459408]].
Obj mean and sd ranges: 1.2889014814862394 and 0.07317352281940326
Constrs mean and sd ranges: [0.04377214 2.18500448] and [0.00362743 0.08030939]
For the problem WO, in                   step 292, we get objective [[7.04562373]] and constraints                   [[ 1.23054701 -0.43288236]].
Obj mean and sd ranges: 1.8119088649117918 and 0.08074056588817091
Constrs mean and sd ranges: [0.33507276 2.04588866] and [0.00400255 0.08861437]
For the problem WO, in                   step 293, we get objective [[-3.8185068]] and constraints                   [[-0.72294116  4.29805977]].
Obj mean and sd ranges: 1.4578908717167218 and 0.0164734051223705
Constrs mean and sd ranges: [0.371443   1.17686314] and [0.00081664 0.01807989]
For the problem WO, in                   step 294, we get objective [[3.78427292]] and constraints                   [[ 0.32092794 -8.05802505]].
Obj mean and sd ranges: 3.2365962249007345 and 0.16855076044759298
Constrs mean and sd ranges: [1.1413834  4.15673385] and [0.00835555 0.18498779]
For the problem WO, in                   step 295, we get objective [[1.30721177]] and constraints                   [[-0.40255754  1.15699592]].
Obj mean and sd ranges: 7.985004045726597 and 0.16853992231765424
Constrs mean and sd ranges: [0.10996201 7.38860088] and [0.00835502 0.1849759 ]
For the problem WO, in                   step 296, we get objective [[0.79376525]] and constraints                   [[ 0.10979332 -4.83390401]].
Obj mean and sd ranges: 0.3694329232232286 and 0.0011339743044359585
Constrs mean and sd ranges: [0.0107676  0.38037489] and [5.62140525e-05 1.24455923e-03]
For the problem WO, in                   step 297, we get objective [[1.84354618]] and constraints                   [[  0.68166594 -14.04719896]].
Obj mean and sd ranges: 2.008576633494968 and 0.96349433808734
Constrs mean and sd ranges: [0.335543   7.82531743] and [0.04753568 1.05747273]
For the problem WO, in                   step 298, we get objective [[18.47480543]] and constraints                   [[0.17358476 8.00688819]].
Obj mean and sd ranges: 0.8441905329839785 and 0.16409597345536397
Constrs mean and sd ranges: [0.21669659 4.78497352] and [0.00813472 0.18009858]
For the problem WO, in                   step 299, we get objective [[-0.63125268]] and constraints                   [[ 0.36301509 -8.33817817]].
Config got.
[[-0.71840324  4.14552004]]
[[0.         4.14552004]]
For the problem WO, in                   step 0, we get objective [[2.27742908]] and constraints                   [[-0.71840324  4.14552004]].
[[-0.71382179  4.09238084]]
[[0.         4.09238084]]
For the problem WO, in                   step 1, we get objective [[1.82133557]] and constraints                   [[-0.71382179  4.09238084]].
[[-0.73440866  4.10497139]]
[[0.         4.10497139]]
For the problem WO, in                   step 2, we get objective [[2.97054054]] and constraints                   [[-0.73440866  4.10497139]].
[[-0.72585849  4.03183126]]
[[0.         4.03183126]]
For the problem WO, in                   step 3, we get objective [[7.01581695]] and constraints                   [[-0.72585849  4.03183126]].
[[-0.72100557  4.10512727]]
[[0.         4.10512727]]
For the problem WO, in                   step 4, we get objective [[4.23304044]] and constraints                   [[-0.72100557  4.10512727]].
[[-0.71891041  4.0990737 ]]
[[0.        4.0990737]]
For the problem WO, in                   step 5, we get objective [[7.94887632]] and constraints                   [[-0.71891041  4.0990737 ]].
[[-0.08683291 -1.19423031]]
[[0. 0.]]
For the problem WO, in                   step 6, we get objective [[-0.16689325]] and constraints                   [[-0.08683291 -1.19423031]].
[[-0.72599129  4.13527369]]
[[0.         4.13527369]]
For the problem WO, in                   step 7, we get objective [[7.56304028]] and constraints                   [[-0.72599129  4.13527369]].
[[-0.71471433  4.20599795]]
[[0.         4.20599795]]
For the problem WO, in                   step 8, we get objective [[-0.85863609]] and constraints                   [[-0.71471433  4.20599795]].
[[-0.7132269   4.12385844]]
[[0.         4.12385844]]
For the problem WO, in                   step 9, we get objective [[-0.00309888]] and constraints                   [[-0.7132269   4.12385844]].
[[-0.72835475  4.13387802]]
[[0.         4.13387802]]
For the problem WO, in                   step 10, we get objective [[5.58717004]] and constraints                   [[-0.72835475  4.13387802]].
[[-0.07012207 -1.37547669]]
[[0. 0.]]
For the problem WO, in                   step 11, we get objective [[-4.85482484]] and constraints                   [[-0.07012207 -1.37547669]].
[[-0.73274242  4.19048402]]
[[0.         4.19048402]]
For the problem WO, in                   step 12, we get objective [[2.5452743]] and constraints                   [[-0.73274242  4.19048402]].
[[0.29697863 5.89057009]]
[[0.29697863 5.89057009]]
For the problem WO, in                   step 13, we get objective [[17.72083797]] and constraints                   [[0.29697863 5.89057009]].
[[-0.70942066  4.15653915]]
[[0.         4.15653915]]
For the problem WO, in                   step 14, we get objective [[-5.53586854]] and constraints                   [[-0.70942066  4.15653915]].
[[ 0.07524355 -4.5002562 ]]
[[0.07524355 0.        ]]
For the problem WO, in                   step 15, we get objective [[0.14325895]] and constraints                   [[ 0.07524355 -4.5002562 ]].
[[-0.71935069  4.14925941]]
[[0.         4.14925941]]
For the problem WO, in                   step 16, we get objective [[-3.11839466]] and constraints                   [[-0.71935069  4.14925941]].
[[-0.73203493  4.1674118 ]]
[[0.        4.1674118]]
For the problem WO, in                   step 17, we get objective [[1.63735939]] and constraints                   [[-0.73203493  4.1674118 ]].
[[-0.08388957 -1.33528505]]
[[0. 0.]]
For the problem WO, in                   step 18, we get objective [[-1.09888663]] and constraints                   [[-0.08388957 -1.33528505]].
[[-0.72153687  3.98874049]]
[[0.         3.98874049]]
For the problem WO, in                   step 19, we get objective [[-2.04624693]] and constraints                   [[-0.72153687  3.98874049]].
[[-0.72505769  4.18541924]]
[[0.         4.18541924]]
For the problem WO, in                   step 20, we get objective [[1.69585891]] and constraints                   [[-0.72505769  4.18541924]].
[[-0.73047897  4.14893139]]
[[0.         4.14893139]]
For the problem WO, in                   step 21, we get objective [[-3.64417951]] and constraints                   [[-0.73047897  4.14893139]].
[[0.28073006 4.93155307]]
[[0.28073006 4.93155307]]
For the problem WO, in                   step 22, we get objective [[5.4540777]] and constraints                   [[0.28073006 4.93155307]].
[[0.57808776 4.58156064]]
[[0.57808776 4.58156064]]
For the problem WO, in                   step 23, we get objective [[2.3326927]] and constraints                   [[0.57808776 4.58156064]].
[[-0.07978403 -1.12666455]]
[[0. 0.]]
For the problem WO, in                   step 24, we get objective [[1.17898352]] and constraints                   [[-0.07978403 -1.12666455]].
[[0.03629909 2.91305905]]
[[0.03629909 2.91305905]]
For the problem WO, in                   step 25, we get objective [[6.16916629]] and constraints                   [[0.03629909 2.91305905]].
[[ 1.22715647 -0.50300233]]
[[1.22715647 0.        ]]
For the problem WO, in                   step 26, we get objective [[2.97098898]] and constraints                   [[ 1.22715647 -0.50300233]].
[[-0.71738757  4.07251547]]
[[0.         4.07251547]]
For the problem WO, in                   step 27, we get objective [[6.25234344]] and constraints                   [[-0.71738757  4.07251547]].
[[-0.7216891   4.23782186]]
[[0.         4.23782186]]
For the problem WO, in                   step 28, we get objective [[-3.08848878]] and constraints                   [[-0.7216891   4.23782186]].
[[-0.7108805   4.11908585]]
[[0.         4.11908585]]
For the problem WO, in                   step 29, we get objective [[0.56928721]] and constraints                   [[-0.7108805   4.11908585]].
[[-0.7212334   4.11526284]]
[[0.         4.11526284]]
For the problem WO, in                   step 30, we get objective [[-0.81134712]] and constraints                   [[-0.7212334   4.11526284]].
[[-0.71921043  4.19061778]]
[[0.         4.19061778]]
For the problem WO, in                   step 31, we get objective [[-3.34485866]] and constraints                   [[-0.71921043  4.19061778]].
[[0.7539359  4.27303918]]
[[0.7539359  4.27303918]]
For the problem WO, in                   step 32, we get objective [[6.36688743]] and constraints                   [[0.7539359  4.27303918]].
[[  0.69035047 -13.8783384 ]]
[[0.69035047 0.        ]]
For the problem WO, in                   step 33, we get objective [[1.82259695]] and constraints                   [[  0.69035047 -13.8783384 ]].
[[-0.72319099  4.10727436]]
[[0.         4.10727436]]
For the problem WO, in                   step 34, we get objective [[7.88450557]] and constraints                   [[-0.72319099  4.10727436]].
[[0.73588291 4.45087455]]
[[0.73588291 4.45087455]]
For the problem WO, in                   step 35, we get objective [[15.74006257]] and constraints                   [[0.73588291 4.45087455]].
[[-0.08716903 -1.24248666]]
[[0. 0.]]
For the problem WO, in                   step 36, we get objective [[-3.07413349]] and constraints                   [[-0.08716903 -1.24248666]].
[[-0.71820818  4.0847764 ]]
[[0.        4.0847764]]
For the problem WO, in                   step 37, we get objective [[-5.18968804]] and constraints                   [[-0.71820818  4.0847764 ]].
[[-0.09176544 -1.29933488]]
[[0. 0.]]
For the problem WO, in                   step 38, we get objective [[2.5308975]] and constraints                   [[-0.09176544 -1.29933488]].
[[ 0.58203083 -1.35606134]]
[[0.58203083 0.        ]]
For the problem WO, in                   step 39, we get objective [[-1.31672282]] and constraints                   [[ 0.58203083 -1.35606134]].
[[0.26392875 4.79868806]]
[[0.26392875 4.79868806]]
For the problem WO, in                   step 40, we get objective [[-2.47040478]] and constraints                   [[0.26392875 4.79868806]].
[[0.6590161  1.47238052]]
[[0.6590161  1.47238052]]
For the problem WO, in                   step 41, we get objective [[3.46812241]] and constraints                   [[0.6590161  1.47238052]].
[[-0.23070476 -0.66745898]]
[[0. 0.]]
For the problem WO, in                   step 42, we get objective [[3.76886913]] and constraints                   [[-0.23070476 -0.66745898]].
[[-0.72462438  4.13522532]]
[[0.         4.13522532]]
For the problem WO, in                   step 43, we get objective [[-1.85278971]] and constraints                   [[-0.72462438  4.13522532]].
[[-0.72070613  4.25123895]]
[[0.         4.25123895]]
For the problem WO, in                   step 44, we get objective [[-6.22222278]] and constraints                   [[-0.72070613  4.25123895]].
[[-0.71695634  4.08321999]]
[[0.         4.08321999]]
For the problem WO, in                   step 45, we get objective [[-1.92549719]] and constraints                   [[-0.71695634  4.08321999]].
[[-0.72582244  4.22568288]]
[[0.         4.22568288]]
For the problem WO, in                   step 46, we get objective [[-3.41889444]] and constraints                   [[-0.72582244  4.22568288]].
[[-0.08670656 -1.24314278]]
[[0. 0.]]
For the problem WO, in                   step 47, we get objective [[-4.91554653]] and constraints                   [[-0.08670656 -1.24314278]].
[[-0.71760975  4.16333456]]
[[0.         4.16333456]]
For the problem WO, in                   step 48, we get objective [[-4.7475177]] and constraints                   [[-0.71760975  4.16333456]].
[[-0.71694781  4.02473797]]
[[0.         4.02473797]]
For the problem WO, in                   step 49, we get objective [[0.44075614]] and constraints                   [[-0.71694781  4.02473797]].
[[-0.72151412  4.10388625]]
[[0.         4.10388625]]
For the problem WO, in                   step 50, we get objective [[2.89668758]] and constraints                   [[-0.72151412  4.10388625]].
[[-0.7362361   4.14458332]]
[[0.         4.14458332]]
For the problem WO, in                   step 51, we get objective [[1.46960764]] and constraints                   [[-0.7362361   4.14458332]].
[[-0.29492302  0.03980826]]
[[0.         0.03980826]]
For the problem WO, in                   step 52, we get objective [[3.95644213]] and constraints                   [[-0.29492302  0.03980826]].
[[0.08897584 4.88166642]]
[[0.08897584 4.88166642]]
For the problem WO, in                   step 53, we get objective [[-0.97860537]] and constraints                   [[0.08897584 4.88166642]].
[[0.33370957 7.32122901]]
[[0.33370957 7.32122901]]
For the problem WO, in                   step 54, we get objective [[13.17760274]] and constraints                   [[0.33370957 7.32122901]].
[[ 0.06695032 -4.37493923]]
[[0.06695032 0.        ]]
For the problem WO, in                   step 55, we get objective [[4.24514698]] and constraints                   [[ 0.06695032 -4.37493923]].
[[0.64362622 5.20613625]]
[[0.64362622 5.20613625]]
For the problem WO, in                   step 56, we get objective [[3.12628192]] and constraints                   [[0.64362622 5.20613625]].
[[-0.71704947  4.12692138]]
[[0.         4.12692138]]
For the problem WO, in                   step 57, we get objective [[1.33436267]] and constraints                   [[-0.71704947  4.12692138]].
[[-0.71630518  4.05297642]]
[[0.         4.05297642]]
For the problem WO, in                   step 58, we get objective [[-3.59684106]] and constraints                   [[-0.71630518  4.05297642]].
[[-0.73208276  4.19441759]]
[[0.         4.19441759]]
For the problem WO, in                   step 59, we get objective [[-3.79824163]] and constraints                   [[-0.73208276  4.19441759]].
[[0.64211446 5.29781942]]
[[0.64211446 5.29781942]]
For the problem WO, in                   step 60, we get objective [[8.1891387]] and constraints                   [[0.64211446 5.29781942]].
[[-0.71268607  4.17986059]]
[[0.         4.17986059]]
For the problem WO, in                   step 61, we get objective [[-3.67796752]] and constraints                   [[-0.71268607  4.17986059]].
[[-0.71969347  4.08759945]]
[[0.         4.08759945]]
For the problem WO, in                   step 62, we get objective [[-2.76530623]] and constraints                   [[-0.71969347  4.08759945]].
[[0.64539581 5.16860748]]
[[0.64539581 5.16860748]]
For the problem WO, in                   step 63, we get objective [[3.86219939]] and constraints                   [[0.64539581 5.16860748]].
[[-0.72051533  4.11869023]]
[[0.         4.11869023]]
For the problem WO, in                   step 64, we get objective [[-2.41773052]] and constraints                   [[-0.72051533  4.11869023]].
[[-0.71229121  4.19794611]]
[[0.         4.19794611]]
For the problem WO, in                   step 65, we get objective [[-2.46518933]] and constraints                   [[-0.71229121  4.19794611]].
[[-0.06364707  2.86211204]]
[[0.         2.86211204]]
For the problem WO, in                   step 66, we get objective [[-4.62815681]] and constraints                   [[-0.06364707  2.86211204]].
[[0.21531    0.97897586]]
[[0.21531    0.97897586]]
For the problem WO, in                   step 67, we get objective [[4.98034374]] and constraints                   [[0.21531    0.97897586]].
[[-0.70705832  4.0552784 ]]
[[0.        4.0552784]]
For the problem WO, in                   step 68, we get objective [[3.28414188]] and constraints                   [[-0.70705832  4.0552784 ]].
[[-0.71778128  4.2027476 ]]
[[0.        4.2027476]]
For the problem WO, in                   step 69, we get objective [[0.32131721]] and constraints                   [[-0.71778128  4.2027476 ]].
[[-0.71838017  3.9819351 ]]
[[0.        3.9819351]]
For the problem WO, in                   step 70, we get objective [[-6.66711395]] and constraints                   [[-0.71838017  3.9819351 ]].
[[0.38714668 6.909786  ]]
[[0.38714668 6.909786  ]]
For the problem WO, in                   step 71, we get objective [[15.50884113]] and constraints                   [[0.38714668 6.909786  ]].
[[-0.73076208  4.20566806]]
[[0.         4.20566806]]
For the problem WO, in                   step 72, we get objective [[6.45701236]] and constraints                   [[-0.73076208  4.20566806]].
[[-0.07871551 -1.33396016]]
[[0. 0.]]
For the problem WO, in                   step 73, we get objective [[-5.068857]] and constraints                   [[-0.07871551 -1.33396016]].
[[0.17561119 5.03680304]]
[[0.17561119 5.03680304]]
For the problem WO, in                   step 74, we get objective [[-0.69205579]] and constraints                   [[0.17561119 5.03680304]].
[[-0.36782885  0.76051874]]
[[0.         0.76051874]]
For the problem WO, in                   step 75, we get objective [[2.84619529]] and constraints                   [[-0.36782885  0.76051874]].
[[-0.71372167  4.09109429]]
[[0.         4.09109429]]
For the problem WO, in                   step 76, we get objective [[-0.13170124]] and constraints                   [[-0.71372167  4.09109429]].
[[-0.7188759   4.28826461]]
[[0.         4.28826461]]
For the problem WO, in                   step 77, we get objective [[-4.49708512]] and constraints                   [[-0.7188759   4.28826461]].
[[-0.7118789   4.09186495]]
[[0.         4.09186495]]
For the problem WO, in                   step 78, we get objective [[8.98171193]] and constraints                   [[-0.7118789   4.09186495]].
[[-0.23255016 -0.66092311]]
[[0. 0.]]
For the problem WO, in                   step 79, we get objective [[1.73819607]] and constraints                   [[-0.23255016 -0.66092311]].
[[0.14248127 7.69797847]]
[[0.14248127 7.69797847]]
For the problem WO, in                   step 80, we get objective [[5.34111689]] and constraints                   [[0.14248127 7.69797847]].
[[1.06174267 1.31882995]]
[[1.06174267 1.31882995]]
For the problem WO, in                   step 81, we get objective [[0.78317114]] and constraints                   [[1.06174267 1.31882995]].
[[-0.71588502  4.16216141]]
[[0.         4.16216141]]
For the problem WO, in                   step 82, we get objective [[-3.01737326]] and constraints                   [[-0.71588502  4.16216141]].
[[  0.68710744 -14.01116594]]
[[0.68710744 0.        ]]
For the problem WO, in                   step 83, we get objective [[6.97056479]] and constraints                   [[  0.68710744 -14.01116594]].
[[-0.70977574  4.04465698]]
[[0.         4.04465698]]
For the problem WO, in                   step 84, we get objective [[5.94327216]] and constraints                   [[-0.70977574  4.04465698]].
[[ 1.23493549 -0.52095334]]
[[1.23493549 0.        ]]
For the problem WO, in                   step 85, we get objective [[12.42660328]] and constraints                   [[ 1.23493549 -0.52095334]].
[[-0.62601611  4.21934819]]
[[0.         4.21934819]]
For the problem WO, in                   step 86, we get objective [[-0.69162972]] and constraints                   [[-0.62601611  4.21934819]].
[[-0.24529701 -0.66648446]]
[[0. 0.]]
For the problem WO, in                   step 87, we get objective [[-2.62544117]] and constraints                   [[-0.24529701 -0.66648446]].
[[-0.08070819  5.01609218]]
[[0.         5.01609218]]
For the problem WO, in                   step 88, we get objective [[-3.64058575]] and constraints                   [[-0.08070819  5.01609218]].
[[-0.67605498  3.89416175]]
[[0.         3.89416175]]
For the problem WO, in                   step 89, we get objective [[-0.65603791]] and constraints                   [[-0.67605498  3.89416175]].
[[-0.12306026  6.44476398]]
[[0.         6.44476398]]
For the problem WO, in                   step 90, we get objective [[10.2450519]] and constraints                   [[-0.12306026  6.44476398]].
[[-0.71873773  4.04569198]]
[[0.         4.04569198]]
For the problem WO, in                   step 91, we get objective [[-2.14902023]] and constraints                   [[-0.71873773  4.04569198]].
[[-0.70559743  4.0068034 ]]
[[0.        4.0068034]]
For the problem WO, in                   step 92, we get objective [[-4.28674353]] and constraints                   [[-0.70559743  4.0068034 ]].
[[-0.71553577  4.1608359 ]]
[[0.        4.1608359]]
For the problem WO, in                   step 93, we get objective [[3.50586308]] and constraints                   [[-0.71553577  4.1608359 ]].
[[-0.04587191 -2.9905307 ]]
[[0. 0.]]
For the problem WO, in                   step 94, we get objective [[-3.36179953]] and constraints                   [[-0.04587191 -2.9905307 ]].
[[-0.71846272  4.07693908]]
[[0.         4.07693908]]
For the problem WO, in                   step 95, we get objective [[2.51128455]] and constraints                   [[-0.71846272  4.07693908]].
[[-0.65527619  3.52450896]]
[[0.         3.52450896]]
For the problem WO, in                   step 96, we get objective [[-1.51348646]] and constraints                   [[-0.65527619  3.52450896]].
[[-0.73084305  4.24399443]]
[[0.         4.24399443]]
For the problem WO, in                   step 97, we get objective [[-5.07632985]] and constraints                   [[-0.73084305  4.24399443]].
[[0.03200276 3.55190515]]
[[0.03200276 3.55190515]]
For the problem WO, in                   step 98, we get objective [[-0.040427]] and constraints                   [[0.03200276 3.55190515]].
[[-0.05338711 -2.90278921]]
[[0. 0.]]
For the problem WO, in                   step 99, we get objective [[-3.98253302]] and constraints                   [[-0.05338711 -2.90278921]].
[[-0.41584122  3.8996066 ]]
[[0.        3.8996066]]
For the problem WO, in                   step 100, we get objective [[-4.67585564]] and constraints                   [[-0.41584122  3.8996066 ]].
[[-0.71092662  4.2776134 ]]
[[0.        4.2776134]]
For the problem WO, in                   step 101, we get objective [[2.55809846]] and constraints                   [[-0.71092662  4.2776134 ]].
[[-0.06724654 -2.93899669]]
[[0. 0.]]
For the problem WO, in                   step 102, we get objective [[5.21869814]] and constraints                   [[-0.06724654 -2.93899669]].
[[-0.72728714  4.12055644]]
[[0.         4.12055644]]
For the problem WO, in                   step 103, we get objective [[-5.90261571]] and constraints                   [[-0.72728714  4.12055644]].
[[  0.69266798 -13.91550132]]
[[0.69266798 0.        ]]
For the problem WO, in                   step 104, we get objective [[4.12015348]] and constraints                   [[  0.69266798 -13.91550132]].
[[-0.71585932  4.18064022]]
[[0.         4.18064022]]
For the problem WO, in                   step 105, we get objective [[-5.23607142]] and constraints                   [[-0.71585932  4.18064022]].
[[-0.71550702  4.06657733]]
[[0.         4.06657733]]
For the problem WO, in                   step 106, we get objective [[-2.53482314]] and constraints                   [[-0.71550702  4.06657733]].
[[-0.10110965  5.01959108]]
[[0.         5.01959108]]
For the problem WO, in                   step 107, we get objective [[-3.35717807]] and constraints                   [[-0.10110965  5.01959108]].
[[-0.09973357 -2.1961192 ]]
[[0. 0.]]
For the problem WO, in                   step 108, we get objective [[0.72830775]] and constraints                   [[-0.09973357 -2.1961192 ]].
[[  0.67967661 -13.4250746 ]]
[[0.67967661 0.        ]]
For the problem WO, in                   step 109, we get objective [[-1.74389551]] and constraints                   [[  0.67967661 -13.4250746 ]].
[[-0.73145311  4.12256535]]
[[0.         4.12256535]]
For the problem WO, in                   step 110, we get objective [[-0.17007777]] and constraints                   [[-0.73145311  4.12256535]].
[[-0.72812744  4.18648328]]
[[0.         4.18648328]]
For the problem WO, in                   step 111, we get objective [[2.03659218]] and constraints                   [[-0.72812744  4.18648328]].
[[-0.22992908 -0.74911205]]
[[0. 0.]]
For the problem WO, in                   step 112, we get objective [[-0.71142545]] and constraints                   [[-0.22992908 -0.74911205]].
[[-0.10512592 -2.15764268]]
[[0. 0.]]
For the problem WO, in                   step 113, we get objective [[0.81755915]] and constraints                   [[-0.10512592 -2.15764268]].
[[-0.53004146  4.21534974]]
[[0.         4.21534974]]
For the problem WO, in                   step 114, we get objective [[-0.83325073]] and constraints                   [[-0.53004146  4.21534974]].
[[-0.71727134  4.10555866]]
[[0.         4.10555866]]
For the problem WO, in                   step 115, we get objective [[-2.72618899]] and constraints                   [[-0.71727134  4.10555866]].
[[-0.48798743  4.46451405]]
[[0.         4.46451405]]
For the problem WO, in                   step 116, we get objective [[-1.94485772]] and constraints                   [[-0.48798743  4.46451405]].
[[0.36644575 6.33045163]]
[[0.36644575 6.33045163]]
For the problem WO, in                   step 117, we get objective [[9.96766328]] and constraints                   [[0.36644575 6.33045163]].
[[0.42220769 3.91042179]]
[[0.42220769 3.91042179]]
For the problem WO, in                   step 118, we get objective [[3.18226842]] and constraints                   [[0.42220769 3.91042179]].
[[-0.10983543  2.53826535]]
[[0.         2.53826535]]
For the problem WO, in                   step 119, we get objective [[-1.49156715]] and constraints                   [[-0.10983543  2.53826535]].
[[ 0.59752023 -5.19660729]]
[[0.59752023 0.        ]]
For the problem WO, in                   step 120, we get objective [[5.10199811]] and constraints                   [[ 0.59752023 -5.19660729]].
[[-0.22920761 -0.7103511 ]]
[[0. 0.]]
For the problem WO, in                   step 121, we get objective [[-3.28580928]] and constraints                   [[-0.22920761 -0.7103511 ]].
[[  0.69841563 -13.95895511]]
[[0.69841563 0.        ]]
For the problem WO, in                   step 122, we get objective [[2.11063322]] and constraints                   [[  0.69841563 -13.95895511]].
[[-0.09767077 -2.05519829]]
[[0. 0.]]
For the problem WO, in                   step 123, we get objective [[-4.19301688]] and constraints                   [[-0.09767077 -2.05519829]].
[[  0.69151494 -13.90990647]]
[[0.69151494 0.        ]]
For the problem WO, in                   step 124, we get objective [[2.94287706]] and constraints                   [[  0.69151494 -13.90990647]].
[[  0.69500355 -13.97976723]]
[[0.69500355 0.        ]]
For the problem WO, in                   step 125, we get objective [[-0.96482599]] and constraints                   [[  0.69500355 -13.97976723]].
[[0.18184193 7.95527228]]
[[0.18184193 7.95527228]]
For the problem WO, in                   step 126, we get objective [[20.93201853]] and constraints                   [[0.18184193 7.95527228]].
[[0.71194002 4.74165382]]
[[0.71194002 4.74165382]]
For the problem WO, in                   step 127, we get objective [[14.84936102]] and constraints                   [[0.71194002 4.74165382]].
[[-0.07162026 -1.88508801]]
[[0. 0.]]
For the problem WO, in                   step 128, we get objective [[-4.96861285]] and constraints                   [[-0.07162026 -1.88508801]].
[[  0.69640376 -13.94504224]]
[[0.69640376 0.        ]]
For the problem WO, in                   step 129, we get objective [[0.69225032]] and constraints                   [[  0.69640376 -13.94504224]].
[[-0.41855481  3.83597095]]
[[0.         3.83597095]]
For the problem WO, in                   step 130, we get objective [[-4.10424466]] and constraints                   [[-0.41855481  3.83597095]].
[[0.5573346  2.02358626]]
[[0.5573346  2.02358626]]
For the problem WO, in                   step 131, we get objective [[5.52024349]] and constraints                   [[0.5573346  2.02358626]].
[[0.17284706 7.9978891 ]]
[[0.17284706 7.9978891 ]]
For the problem WO, in                   step 132, we get objective [[24.19680238]] and constraints                   [[0.17284706 7.9978891 ]].
[[ 1.23525833 -0.53338847]]
[[1.23525833 0.        ]]
For the problem WO, in                   step 133, we get objective [[8.83415514]] and constraints                   [[ 1.23525833 -0.53338847]].
[[-0.7075039  4.1375463]]
[[0.        4.1375463]]
For the problem WO, in                   step 134, we get objective [[-6.57078899]] and constraints                   [[-0.7075039  4.1375463]].
[[-0.72442413  4.22985385]]
[[0.         4.22985385]]
For the problem WO, in                   step 135, we get objective [[-2.40986823]] and constraints                   [[-0.72442413  4.22985385]].
[[0.42322482 4.93180568]]
[[0.42322482 4.93180568]]
For the problem WO, in                   step 136, we get objective [[12.46446832]] and constraints                   [[0.42322482 4.93180568]].
[[-0.707453    4.17171966]]
[[0.         4.17171966]]
For the problem WO, in                   step 137, we get objective [[3.20317196]] and constraints                   [[-0.707453    4.17171966]].
[[0.97483809 1.54150548]]
[[0.97483809 1.54150548]]
For the problem WO, in                   step 138, we get objective [[6.22788942]] and constraints                   [[0.97483809 1.54150548]].
[[-0.38826941  1.03863137]]
[[0.         1.03863137]]
For the problem WO, in                   step 139, we get objective [[3.15910123]] and constraints                   [[-0.38826941  1.03863137]].
[[-0.38827214  1.03190704]]
[[0.         1.03190704]]
For the problem WO, in                   step 140, we get objective [[3.19224309]] and constraints                   [[-0.38827214  1.03190704]].
[[-0.39790542  1.10717372]]
[[0.         1.10717372]]
For the problem WO, in                   step 141, we get objective [[0.33140508]] and constraints                   [[-0.39790542  1.10717372]].
[[-0.32412502  0.39184822]]
[[0.         0.39184822]]
For the problem WO, in                   step 142, we get objective [[1.69009776]] and constraints                   [[-0.32412502  0.39184822]].
[[0.83047351 3.55593194]]
[[0.83047351 3.55593194]]
For the problem WO, in                   step 143, we get objective [[10.68654278]] and constraints                   [[0.83047351 3.55593194]].
[[-0.71041789  4.12916602]]
[[0.         4.12916602]]
For the problem WO, in                   step 144, we get objective [[-3.71295461]] and constraints                   [[-0.71041789  4.12916602]].
[[ 0.03414239 -4.10072894]]
[[0.03414239 0.        ]]
For the problem WO, in                   step 145, we get objective [[1.93206991]] and constraints                   [[ 0.03414239 -4.10072894]].
[[-0.72120078  4.12099262]]
[[0.         4.12099262]]
For the problem WO, in                   step 146, we get objective [[0.38182272]] and constraints                   [[-0.72120078  4.12099262]].
[[0.29938451 1.2202604 ]]
[[0.29938451 1.2202604 ]]
For the problem WO, in                   step 147, we get objective [[-1.13815355]] and constraints                   [[0.29938451 1.2202604 ]].
[[-0.71505486  3.9427985 ]]
[[0.        3.9427985]]
For the problem WO, in                   step 148, we get objective [[-6.30099044]] and constraints                   [[-0.71505486  3.9427985 ]].
[[  0.68889202 -13.96536565]]
[[0.68889202 0.        ]]
For the problem WO, in                   step 149, we get objective [[-1.14731545]] and constraints                   [[  0.68889202 -13.96536565]].
[[-0.0817762  -1.37839385]]
[[0. 0.]]
For the problem WO, in                   step 150, we get objective [[-3.13555624]] and constraints                   [[-0.0817762  -1.37839385]].
[[ 1.2148047 -0.4062108]]
[[1.2148047 0.       ]]
For the problem WO, in                   step 151, we get objective [[8.07798101]] and constraints                   [[ 1.2148047 -0.4062108]].
[[0.16913384 7.92694864]]
[[0.16913384 7.92694864]]
For the problem WO, in                   step 152, we get objective [[14.78624346]] and constraints                   [[0.16913384 7.92694864]].
[[0.49985831 6.14941462]]
[[0.49985831 6.14941462]]
For the problem WO, in                   step 153, we get objective [[4.24699617]] and constraints                   [[0.49985831 6.14941462]].
[[-0.1358505  -1.75332382]]
[[0. 0.]]
For the problem WO, in                   step 154, we get objective [[-1.43085873]] and constraints                   [[-0.1358505  -1.75332382]].
[[-0.73678326  4.09478044]]
[[0.         4.09478044]]
For the problem WO, in                   step 155, we get objective [[-1.98761078]] and constraints                   [[-0.73678326  4.09478044]].
[[-0.24371658  5.61173445]]
[[0.         5.61173445]]
For the problem WO, in                   step 156, we get objective [[-3.03177999]] and constraints                   [[-0.24371658  5.61173445]].
[[-0.06813493 -2.54718544]]
[[0. 0.]]
For the problem WO, in                   step 157, we get objective [[-0.19376648]] and constraints                   [[-0.06813493 -2.54718544]].
[[0.1807903  7.93323908]]
[[0.1807903  7.93323908]]
For the problem WO, in                   step 158, we get objective [[16.87570766]] and constraints                   [[0.1807903  7.93323908]].
[[-0.14388453  2.1748314 ]]
[[0.        2.1748314]]
For the problem WO, in                   step 159, we get objective [[-6.85639229]] and constraints                   [[-0.14388453  2.1748314 ]].
[[0.58665163 5.67027003]]
[[0.58665163 5.67027003]]
For the problem WO, in                   step 160, we get objective [[4.0639449]] and constraints                   [[0.58665163 5.67027003]].
[[-0.73830761  4.11402691]]
[[0.         4.11402691]]
For the problem WO, in                   step 161, we get objective [[-2.26778938]] and constraints                   [[-0.73830761  4.11402691]].
[[-0.27682663 -0.2573843 ]]
[[0. 0.]]
For the problem WO, in                   step 162, we get objective [[-5.16191443]] and constraints                   [[-0.27682663 -0.2573843 ]].
[[ 1.22189407 -0.51127185]]
[[1.22189407 0.        ]]
For the problem WO, in                   step 163, we get objective [[0.3028108]] and constraints                   [[ 1.22189407 -0.51127185]].
[[-0.17158617 -0.76607136]]
[[0. 0.]]
For the problem WO, in                   step 164, we get objective [[-2.42333195]] and constraints                   [[-0.17158617 -0.76607136]].
[[0.17082844 8.08055401]]
[[0.17082844 8.08055401]]
For the problem WO, in                   step 165, we get objective [[15.75944116]] and constraints                   [[0.17082844 8.08055401]].
[[0.4101117  6.79944866]]
[[0.4101117  6.79944866]]
For the problem WO, in                   step 166, we get objective [[11.75088139]] and constraints                   [[0.4101117  6.79944866]].
[[-0.66448659  4.04314773]]
[[0.         4.04314773]]
For the problem WO, in                   step 167, we get objective [[-4.66952202]] and constraints                   [[-0.66448659  4.04314773]].
[[-0.27662066 -0.43038772]]
[[0. 0.]]
For the problem WO, in                   step 168, we get objective [[4.80003553]] and constraints                   [[-0.27662066 -0.43038772]].
[[-0.25605254 -0.28068086]]
[[0. 0.]]
For the problem WO, in                   step 169, we get objective [[-4.98536972]] and constraints                   [[-0.25605254 -0.28068086]].
[[0.17344869 7.95918564]]
[[0.17344869 7.95918564]]
For the problem WO, in                   step 170, we get objective [[17.68488064]] and constraints                   [[0.17344869 7.95918564]].
[[-0.33824008  0.32262997]]
[[0.         0.32262997]]
For the problem WO, in                   step 171, we get objective [[-1.07897926]] and constraints                   [[-0.33824008  0.32262997]].
[[-0.3308663   0.36067273]]
[[0.         0.36067273]]
For the problem WO, in                   step 172, we get objective [[1.9771944]] and constraints                   [[-0.3308663   0.36067273]].
[[1.08795475 1.36213324]]
[[1.08795475 1.36213324]]
For the problem WO, in                   step 173, we get objective [[-7.30275947]] and constraints                   [[1.08795475 1.36213324]].
[[0.18692633 7.93899855]]
[[0.18692633 7.93899855]]
For the problem WO, in                   step 174, we get objective [[15.63253582]] and constraints                   [[0.18692633 7.93899855]].
[[-0.34776526  0.71855677]]
[[0.         0.71855677]]
For the problem WO, in                   step 175, we get objective [[-2.18695939]] and constraints                   [[-0.34776526  0.71855677]].
[[  0.69249508 -13.92520455]]
[[0.69249508 0.        ]]
For the problem WO, in                   step 176, we get objective [[2.29380526]] and constraints                   [[  0.69249508 -13.92520455]].
[[0.46745793 6.40100574]]
[[0.46745793 6.40100574]]
For the problem WO, in                   step 177, we get objective [[10.32651421]] and constraints                   [[0.46745793 6.40100574]].
[[-0.72783212  4.11808557]]
[[0.         4.11808557]]
For the problem WO, in                   step 178, we get objective [[-2.30666359]] and constraints                   [[-0.72783212  4.11808557]].
[[-0.39079466  0.97227737]]
[[0.         0.97227737]]
For the problem WO, in                   step 179, we get objective [[0.45586404]] and constraints                   [[-0.39079466  0.97227737]].
[[-0.40097416  1.00238465]]
[[0.         1.00238465]]
For the problem WO, in                   step 180, we get objective [[-1.58089504]] and constraints                   [[-0.40097416  1.00238465]].
[[0.1759379  8.00675384]]
[[0.1759379  8.00675384]]
For the problem WO, in                   step 181, we get objective [[12.22029889]] and constraints                   [[0.1759379  8.00675384]].
[[-0.72732405  4.19625951]]
[[0.         4.19625951]]
For the problem WO, in                   step 182, we get objective [[2.00524486]] and constraints                   [[-0.72732405  4.19625951]].
[[  0.6655168  -13.85310262]]
[[0.6655168 0.       ]]
For the problem WO, in                   step 183, we get objective [[5.43263559]] and constraints                   [[  0.6655168  -13.85310262]].
[[-0.0133867  -3.33586665]]
[[0. 0.]]
For the problem WO, in                   step 184, we get objective [[-2.85760534]] and constraints                   [[-0.0133867  -3.33586665]].
[[-0.13452064 -1.64622059]]
[[0. 0.]]
For the problem WO, in                   step 185, we get objective [[-4.18060185]] and constraints                   [[-0.13452064 -1.64622059]].
[[ 1.22930192 -0.57201572]]
[[1.22930192 0.        ]]
For the problem WO, in                   step 186, we get objective [[11.99314125]] and constraints                   [[ 1.22930192 -0.57201572]].
[[-0.22400916 -0.78150946]]
[[0. 0.]]
For the problem WO, in                   step 187, we get objective [[-3.33639926]] and constraints                   [[-0.22400916 -0.78150946]].
[[0.58692395 1.80734846]]
[[0.58692395 1.80734846]]
For the problem WO, in                   step 188, we get objective [[0.56653967]] and constraints                   [[0.58692395 1.80734846]].
[[0.85947677 3.51248841]]
[[0.85947677 3.51248841]]
For the problem WO, in                   step 189, we get objective [[3.14326863]] and constraints                   [[0.85947677 3.51248841]].
[[-0.38114135  4.06383234]]
[[0.         4.06383234]]
For the problem WO, in                   step 190, we get objective [[-3.63102961]] and constraints                   [[-0.38114135  4.06383234]].
[[-0.30221045 -0.05809501]]
[[0. 0.]]
For the problem WO, in                   step 191, we get objective [[-2.52111233]] and constraints                   [[-0.30221045 -0.05809501]].
[[0.42981694 6.66903993]]
[[0.42981694 6.66903993]]
For the problem WO, in                   step 192, we get objective [[18.18254688]] and constraints                   [[0.42981694 6.66903993]].
[[-0.72630668  4.13880541]]
[[0.         4.13880541]]
For the problem WO, in                   step 193, we get objective [[1.61611372]] and constraints                   [[-0.72630668  4.13880541]].
[[-0.21774979  3.19940332]]
[[0.         3.19940332]]
For the problem WO, in                   step 194, we get objective [[-2.5956465]] and constraints                   [[-0.21774979  3.19940332]].
[[ 0.31523764 -8.11476624]]
[[0.31523764 0.        ]]
For the problem WO, in                   step 195, we get objective [[4.09175321]] and constraints                   [[ 0.31523764 -8.11476624]].
[[-0.20546222 -1.02355459]]
[[0. 0.]]
For the problem WO, in                   step 196, we get objective [[-2.90827769]] and constraints                   [[-0.20546222 -1.02355459]].
[[ 0.01637627 -3.7137871 ]]
[[0.01637627 0.        ]]
For the problem WO, in                   step 197, we get objective [[-1.71910966]] and constraints                   [[ 0.01637627 -3.7137871 ]].
[[-0.20111461  0.59379699]]
[[0.         0.59379699]]
For the problem WO, in                   step 198, we get objective [[-2.07188321]] and constraints                   [[-0.20111461  0.59379699]].
[[-0.26360576 -0.29614283]]
[[0. 0.]]
For the problem WO, in                   step 199, we get objective [[-0.48646127]] and constraints                   [[-0.26360576 -0.29614283]].
[[  0.68363468 -13.97888342]]
[[0.68363468 0.        ]]
For the problem WO, in                   step 200, we get objective [[4.57784032]] and constraints                   [[  0.68363468 -13.97888342]].
[[-0.36515775  0.72814186]]
[[0.         0.72814186]]
For the problem WO, in                   step 201, we get objective [[4.29553054]] and constraints                   [[-0.36515775  0.72814186]].
[[0.41342678 2.49091029]]
[[0.41342678 2.49091029]]
For the problem WO, in                   step 202, we get objective [[-1.9039185]] and constraints                   [[0.41342678 2.49091029]].
[[-0.71602558  4.18936366]]
[[0.         4.18936366]]
For the problem WO, in                   step 203, we get objective [[-0.81638612]] and constraints                   [[-0.71602558  4.18936366]].
[[0.5507935  5.92401437]]
[[0.5507935  5.92401437]]
For the problem WO, in                   step 204, we get objective [[4.0604769]] and constraints                   [[0.5507935  5.92401437]].
[[0.17821974 7.94913756]]
[[0.17821974 7.94913756]]
For the problem WO, in                   step 205, we get objective [[15.81578973]] and constraints                   [[0.17821974 7.94913756]].
[[0.55248099 6.00137747]]
[[0.55248099 6.00137747]]
For the problem WO, in                   step 206, we get objective [[14.98875155]] and constraints                   [[0.55248099 6.00137747]].
[[-0.20041335  0.52216125]]
[[0.         0.52216125]]
For the problem WO, in                   step 207, we get objective [[-2.90145423]] and constraints                   [[-0.20041335  0.52216125]].
[[-0.71582374  4.13808042]]
[[0.         4.13808042]]
For the problem WO, in                   step 208, we get objective [[-3.4085085]] and constraints                   [[-0.71582374  4.13808042]].
[[-0.7247717   4.12490762]]
[[0.         4.12490762]]
For the problem WO, in                   step 209, we get objective [[-7.02302919]] and constraints                   [[-0.7247717   4.12490762]].
[[-0.40119368  1.01041234]]
[[0.         1.01041234]]
For the problem WO, in                   step 210, we get objective [[-3.17994151]] and constraints                   [[-0.40119368  1.01041234]].
[[-0.22656708  2.14356984]]
[[0.         2.14356984]]
For the problem WO, in                   step 211, we get objective [[-3.99480117]] and constraints                   [[-0.22656708  2.14356984]].
[[0.18475766 7.94724572]]
[[0.18475766 7.94724572]]
For the problem WO, in                   step 212, we get objective [[11.46982127]] and constraints                   [[0.18475766 7.94724572]].
[[0.16449286 8.01751257]]
[[0.16449286 8.01751257]]
For the problem WO, in                   step 213, we get objective [[19.60271621]] and constraints                   [[0.16449286 8.01751257]].
[[-0.73116977  4.03137892]]
[[0.         4.03137892]]
For the problem WO, in                   step 214, we get objective [[1.96526227]] and constraints                   [[-0.73116977  4.03137892]].
[[-0.72345259  4.24402738]]
[[0.         4.24402738]]
For the problem WO, in                   step 215, we get objective [[-2.18457505]] and constraints                   [[-0.72345259  4.24402738]].
[[ 1.22116618 -0.49053879]]
[[1.22116618 0.        ]]
For the problem WO, in                   step 216, we get objective [[12.98314176]] and constraints                   [[ 1.22116618 -0.49053879]].
[[-0.5562011   3.55428003]]
[[0.         3.55428003]]
For the problem WO, in                   step 217, we get objective [[-6.35272443]] and constraints                   [[-0.5562011   3.55428003]].
[[-0.20108718 -0.98425698]]
[[0. 0.]]
For the problem WO, in                   step 218, we get objective [[3.40460545]] and constraints                   [[-0.20108718 -0.98425698]].
[[-0.26399414 -0.38342063]]
[[0. 0.]]
For the problem WO, in                   step 219, we get objective [[0.52438238]] and constraints                   [[-0.26399414 -0.38342063]].
[[-0.72562766  4.07929237]]
[[0.         4.07929237]]
For the problem WO, in                   step 220, we get objective [[-4.05703079]] and constraints                   [[-0.72562766  4.07929237]].
[[ 0.16464769 -5.51092938]]
[[0.16464769 0.        ]]
For the problem WO, in                   step 221, we get objective [[-1.49370575]] and constraints                   [[ 0.16464769 -5.51092938]].
[[0.34672522 7.14193329]]
[[0.34672522 7.14193329]]
For the problem WO, in                   step 222, we get objective [[10.5613246]] and constraints                   [[0.34672522 7.14193329]].
[[-0.21593327 -0.6739094 ]]
[[0. 0.]]
For the problem WO, in                   step 223, we get objective [[-2.47575066]] and constraints                   [[-0.21593327 -0.6739094 ]].
[[-0.28303696 -0.31621785]]
[[0. 0.]]
For the problem WO, in                   step 224, we get objective [[3.65890728]] and constraints                   [[-0.28303696 -0.31621785]].
[[-0.11949475 -2.17155437]]
[[0. 0.]]
For the problem WO, in                   step 225, we get objective [[-2.34635354]] and constraints                   [[-0.11949475 -2.17155437]].
[[-0.10858224 -2.17462844]]
[[0. 0.]]
For the problem WO, in                   step 226, we get objective [[4.25234189]] and constraints                   [[-0.10858224 -2.17462844]].
[[  0.70719883 -13.77767991]]
[[0.70719883 0.        ]]
For the problem WO, in                   step 227, we get objective [[4.90851241]] and constraints                   [[  0.70719883 -13.77767991]].
[[-0.44643341  1.48528538]]
[[0.         1.48528538]]
For the problem WO, in                   step 228, we get objective [[-6.2409533]] and constraints                   [[-0.44643341  1.48528538]].
[[-0.23818627 -0.6551232 ]]
[[0. 0.]]
For the problem WO, in                   step 229, we get objective [[-3.43870326]] and constraints                   [[-0.23818627 -0.6551232 ]].
[[0.44982838 6.52325524]]
[[0.44982838 6.52325524]]
For the problem WO, in                   step 230, we get objective [[9.18441949]] and constraints                   [[0.44982838 6.52325524]].
[[-0.72724476  4.17035902]]
[[0.         4.17035902]]
For the problem WO, in                   step 231, we get objective [[-7.76070098]] and constraints                   [[-0.72724476  4.17035902]].
[[ 1.23057553 -0.55914862]]
[[1.23057553 0.        ]]
For the problem WO, in                   step 232, we get objective [[8.84422693]] and constraints                   [[ 1.23057553 -0.55914862]].
[[-0.51180632  2.42639195]]
[[0.         2.42639195]]
For the problem WO, in                   step 233, we get objective [[-4.39755387]] and constraints                   [[-0.51180632  2.42639195]].
[[-0.13221991 -1.73810691]]
[[0. 0.]]
For the problem WO, in                   step 234, we get objective [[0.92146161]] and constraints                   [[-0.13221991 -1.73810691]].
[[-0.19875909  0.65618778]]
[[0.         0.65618778]]
For the problem WO, in                   step 235, we get objective [[-1.81411459]] and constraints                   [[-0.19875909  0.65618778]].
[[-0.01635344 -3.31562866]]
[[0. 0.]]
For the problem WO, in                   step 236, we get objective [[-0.04120859]] and constraints                   [[-0.01635344 -3.31562866]].
[[-0.31929255  0.30179827]]
[[0.         0.30179827]]
For the problem WO, in                   step 237, we get objective [[-4.3598572]] and constraints                   [[-0.31929255  0.30179827]].
[[0.18182163 7.96324628]]
[[0.18182163 7.96324628]]
For the problem WO, in                   step 238, we get objective [[15.48058242]] and constraints                   [[0.18182163 7.96324628]].
[[-0.55511467  3.93252734]]
[[0.         3.93252734]]
For the problem WO, in                   step 239, we get objective [[-3.43296672]] and constraints                   [[-0.55511467  3.93252734]].
[[-0.71538602  4.15773285]]
[[0.         4.15773285]]
For the problem WO, in                   step 240, we get objective [[-5.85694173]] and constraints                   [[-0.71538602  4.15773285]].
[[0.96426856 2.65312013]]
[[0.96426856 2.65312013]]
For the problem WO, in                   step 241, we get objective [[6.05287152]] and constraints                   [[0.96426856 2.65312013]].
[[-0.27929525 -0.25600597]]
[[0. 0.]]
For the problem WO, in                   step 242, we get objective [[-2.91331404]] and constraints                   [[-0.27929525 -0.25600597]].
[[ 1.21863144 -0.43820838]]
[[1.21863144 0.        ]]
For the problem WO, in                   step 243, we get objective [[-4.40745426]] and constraints                   [[ 1.21863144 -0.43820838]].
[[-0.27705663 -0.40532851]]
[[0. 0.]]
For the problem WO, in                   step 244, we get objective [[-5.36240071]] and constraints                   [[-0.27705663 -0.40532851]].
[[0.7814374  3.77927985]]
[[0.7814374  3.77927985]]
For the problem WO, in                   step 245, we get objective [[14.55556284]] and constraints                   [[0.7814374  3.77927985]].
[[ 0.18953126 -6.01970092]]
[[0.18953126 0.        ]]
For the problem WO, in                   step 246, we get objective [[-0.49458467]] and constraints                   [[ 0.18953126 -6.01970092]].
[[1.1722566 0.3003121]]
[[1.1722566 0.3003121]]
For the problem WO, in                   step 247, we get objective [[14.24974672]] and constraints                   [[1.1722566 0.3003121]].
[[  0.69969767 -13.92461534]]
[[0.69969767 0.        ]]
For the problem WO, in                   step 248, we get objective [[6.60618977]] and constraints                   [[  0.69969767 -13.92461534]].
[[-0.08452461 -1.31542905]]
[[0. 0.]]
For the problem WO, in                   step 249, we get objective [[-3.02972038]] and constraints                   [[-0.08452461 -1.31542905]].
[[-0.21082249 -1.06453327]]
[[0. 0.]]
For the problem WO, in                   step 250, we get objective [[-2.92382523]] and constraints                   [[-0.21082249 -1.06453327]].
[[-0.33024713  0.31750954]]
[[0.         0.31750954]]
For the problem WO, in                   step 251, we get objective [[-4.60818188]] and constraints                   [[-0.33024713  0.31750954]].
[[1.00688819 2.13315775]]
[[1.00688819 2.13315775]]
For the problem WO, in                   step 252, we get objective [[1.78963212]] and constraints                   [[1.00688819 2.13315775]].
[[-0.52058388  2.17311151]]
[[0.         2.17311151]]
For the problem WO, in                   step 253, we get objective [[-5.86517735]] and constraints                   [[-0.52058388  2.17311151]].
[[-0.16589362 -1.46730844]]
[[0. 0.]]
For the problem WO, in                   step 254, we get objective [[-2.63319084]] and constraints                   [[-0.16589362 -1.46730844]].
[[-0.72501519  4.20042236]]
[[0.         4.20042236]]
For the problem WO, in                   step 255, we get objective [[0.42293867]] and constraints                   [[-0.72501519  4.20042236]].
[[-0.21946408 -0.63721643]]
[[0. 0.]]
For the problem WO, in                   step 256, we get objective [[0.38353379]] and constraints                   [[-0.21946408 -0.63721643]].
[[-0.18235721  0.40999984]]
[[0.         0.40999984]]
For the problem WO, in                   step 257, we get objective [[-2.85340032]] and constraints                   [[-0.18235721  0.40999984]].
[[-0.44442757  1.63022484]]
[[0.         1.63022484]]
For the problem WO, in                   step 258, we get objective [[-3.58559921]] and constraints                   [[-0.44442757  1.63022484]].
[[-0.72690519  4.1343723 ]]
[[0.        4.1343723]]
For the problem WO, in                   step 259, we get objective [[-0.25943462]] and constraints                   [[-0.72690519  4.1343723 ]].
[[ 0.18661594 -6.04568521]]
[[0.18661594 0.        ]]
For the problem WO, in                   step 260, we get objective [[1.52006482]] and constraints                   [[ 0.18661594 -6.04568521]].
[[-0.68397973  3.83201245]]
[[0.         3.83201245]]
For the problem WO, in                   step 261, we get objective [[-2.45126357]] and constraints                   [[-0.68397973  3.83201245]].
[[1.0563761  1.62192087]]
[[1.0563761  1.62192087]]
For the problem WO, in                   step 262, we get objective [[3.50461738]] and constraints                   [[1.0563761  1.62192087]].
[[-0.27000236 -0.03476979]]
[[0. 0.]]
For the problem WO, in                   step 263, we get objective [[-5.59677066]] and constraints                   [[-0.27000236 -0.03476979]].
[[-0.46791475  3.89641007]]
[[0.         3.89641007]]
For the problem WO, in                   step 264, we get objective [[-4.47203228]] and constraints                   [[-0.46791475  3.89641007]].
[[-0.72832939  4.07983347]]
[[0.         4.07983347]]
For the problem WO, in                   step 265, we get objective [[2.677425]] and constraints                   [[-0.72832939  4.07983347]].
[[-0.16842007 -1.31183293]]
[[0. 0.]]
For the problem WO, in                   step 266, we get objective [[-1.88170195]] and constraints                   [[-0.16842007 -1.31183293]].
[[0.85407924 3.7214707 ]]
[[0.85407924 3.7214707 ]]
For the problem WO, in                   step 267, we get objective [[13.91002102]] and constraints                   [[0.85407924 3.7214707 ]].
[[-0.11126806 -2.11127861]]
[[0. 0.]]
For the problem WO, in                   step 268, we get objective [[-1.09231213]] and constraints                   [[-0.11126806 -2.11127861]].
[[ 0.62248626 -3.49029038]]
[[0.62248626 0.        ]]
For the problem WO, in                   step 269, we get objective [[3.53297042]] and constraints                   [[ 0.62248626 -3.49029038]].
[[  0.69135712 -13.87131605]]
[[0.69135712 0.        ]]
For the problem WO, in                   step 270, we get objective [[8.43196326]] and constraints                   [[  0.69135712 -13.87131605]].
[[ 0.89565355 -1.01560188]]
[[0.89565355 0.        ]]
For the problem WO, in                   step 271, we get objective [[5.75058857]] and constraints                   [[ 0.89565355 -1.01560188]].
[[ 0.06481953 -4.45472653]]
[[0.06481953 0.        ]]
For the problem WO, in                   step 272, we get objective [[3.4132808]] and constraints                   [[ 0.06481953 -4.45472653]].
[[-0.68556522  4.38011915]]
[[0.         4.38011915]]
For the problem WO, in                   step 273, we get objective [[-5.87482552]] and constraints                   [[-0.68556522  4.38011915]].
[[0.83574097 3.69903925]]
[[0.83574097 3.69903925]]
For the problem WO, in                   step 274, we get objective [[1.80221695]] and constraints                   [[0.83574097 3.69903925]].
[[-0.061874   -2.92526612]]
[[0. 0.]]
For the problem WO, in                   step 275, we get objective [[1.27515815]] and constraints                   [[-0.061874   -2.92526612]].
[[ 0.066973   -4.49850834]]
[[0.066973 0.      ]]
For the problem WO, in                   step 276, we get objective [[-1.70952213]] and constraints                   [[ 0.066973   -4.49850834]].
[[-0.4358786   1.44721925]]
[[0.         1.44721925]]
For the problem WO, in                   step 277, we get objective [[-2.95342616]] and constraints                   [[-0.4358786   1.44721925]].
[[-0.72920651  4.1084132 ]]
[[0.        4.1084132]]
For the problem WO, in                   step 278, we get objective [[4.19539839]] and constraints                   [[-0.72920651  4.1084132 ]].
[[  0.68496334 -13.95102505]]
[[0.68496334 0.        ]]
For the problem WO, in                   step 279, we get objective [[2.42030072]] and constraints                   [[  0.68496334 -13.95102505]].
[[-0.71719224  4.21395798]]
[[0.         4.21395798]]
For the problem WO, in                   step 280, we get objective [[-2.21425886]] and constraints                   [[-0.71719224  4.21395798]].
[[0.15655049 7.92660001]]
[[0.15655049 7.92660001]]
For the problem WO, in                   step 281, we get objective [[4.01664224]] and constraints                   [[0.15655049 7.92660001]].
[[0.81754974 3.8739482 ]]
[[0.81754974 3.8739482 ]]
For the problem WO, in                   step 282, we get objective [[12.458258]] and constraints                   [[0.81754974 3.8739482 ]].
[[0.47098545 0.43594624]]
[[0.47098545 0.43594624]]
For the problem WO, in                   step 283, we get objective [[-3.08134957]] and constraints                   [[0.47098545 0.43594624]].
[[  0.68877805 -13.93636566]]
[[0.68877805 0.        ]]
For the problem WO, in                   step 284, we get objective [[4.32671433]] and constraints                   [[  0.68877805 -13.93636566]].
[[-0.32316308  0.32543534]]
[[0.         0.32543534]]
For the problem WO, in                   step 285, we get objective [[4.26307534]] and constraints                   [[-0.32316308  0.32543534]].
[[0.76861235 4.13693822]]
[[0.76861235 4.13693822]]
For the problem WO, in                   step 286, we get objective [[4.1040161]] and constraints                   [[0.76861235 4.13693822]].
[[-0.72906628  4.17883971]]
[[0.         4.17883971]]
For the problem WO, in                   step 287, we get objective [[1.71246201]] and constraints                   [[-0.72906628  4.17883971]].
[[ 2.41373375e-03 -3.68558601e+00]]
[[0.00241373 0.        ]]
For the problem WO, in                   step 288, we get objective [[4.20890154]] and constraints                   [[ 2.41373375e-03 -3.68558601e+00]].
[[ 1.22415753 -0.52749455]]
[[1.22415753 0.        ]]
For the problem WO, in                   step 289, we get objective [[-2.9243017]] and constraints                   [[ 1.22415753 -0.52749455]].
[[ 0.23705772 -0.5465142 ]]
[[0.23705772 0.        ]]
For the problem WO, in                   step 290, we get objective [[-5.24678045]] and constraints                   [[ 0.23705772 -0.5465142 ]].
[[-0.39576726  4.09028898]]
[[0.         4.09028898]]
For the problem WO, in                   step 291, we get objective [[-2.34212234]] and constraints                   [[-0.39576726  4.09028898]].
[[-0.20626974 -1.09370206]]
[[0. 0.]]
For the problem WO, in                   step 292, we get objective [[-6.02927469]] and constraints                   [[-0.20626974 -1.09370206]].
[[-0.36064432  0.70566095]]
[[0.         0.70566095]]
For the problem WO, in                   step 293, we get objective [[0.03888533]] and constraints                   [[-0.36064432  0.70566095]].
[[0.1639892  8.00122778]]
[[0.1639892  8.00122778]]
For the problem WO, in                   step 294, we get objective [[19.31256707]] and constraints                   [[0.1639892  8.00122778]].
[[ 0.08922064 -4.85810702]]
[[0.08922064 0.        ]]
For the problem WO, in                   step 295, we get objective [[-1.72952798]] and constraints                   [[ 0.08922064 -4.85810702]].
[[-0.72270998  4.00990223]]
[[0.         4.00990223]]
For the problem WO, in                   step 296, we get objective [[4.73336099]] and constraints                   [[-0.72270998  4.00990223]].
[[-0.70847902  4.17299056]]
[[0.         4.17299056]]
For the problem WO, in                   step 297, we get objective [[-6.79100166]] and constraints                   [[-0.70847902  4.17299056]].
[[-0.18679741  0.8659392 ]]
[[0.        0.8659392]]
For the problem WO, in                   step 298, we get objective [[-1.32840561]] and constraints                   [[-0.18679741  0.8659392 ]].
[[0.96518985 2.4610836 ]]
[[0.96518985 2.4610836 ]]
For the problem WO, in                   step 299, we get objective [[9.14606433]] and constraints                   [[0.96518985 2.4610836 ]].
Config got.
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08775024 -1.49495773]]
[[0. 0.]]
For the problem WO, in                   step 0, we get objective [[1.37892485]] and constraints                   [[0.08775024 1.49495773]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07714876 -1.36926664]]
[[0. 0.]]
For the problem WO, in                   step 1, we get objective [[1.38129461]] and constraints                   [[0.07714876 1.36926664]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07947634 -1.49272933]]
[[0. 0.]]
For the problem WO, in                   step 2, we get objective [[1.33771102]] and constraints                   [[0.07947634 1.49272933]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07734189 -1.55187209]]
[[0. 0.]]
For the problem WO, in                   step 3, we get objective [[1.35240914]] and constraints                   [[0.07734189 1.55187209]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07643942 -1.42160882]]
[[0. 0.]]
For the problem WO, in                   step 4, we get objective [[1.39806873]] and constraints                   [[0.07643942 1.42160882]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10192805 -1.55877017]]
[[0. 0.]]
For the problem WO, in                   step 5, we get objective [[1.37757897]] and constraints                   [[0.10192805 1.55877017]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0785742  -1.45004018]]
[[0. 0.]]
For the problem WO, in                   step 6, we get objective [[1.38699571]] and constraints                   [[0.0785742  1.45004018]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08732459 -1.55231867]]
[[0. 0.]]
For the problem WO, in                   step 7, we get objective [[1.38475261]] and constraints                   [[0.08732459 1.55231867]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08238467 -1.4949793 ]]
[[0. 0.]]
For the problem WO, in                   step 8, we get objective [[1.35170916]] and constraints                   [[0.08238467 1.4949793 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09731702 -1.3885917 ]]
[[0. 0.]]
For the problem WO, in                   step 9, we get objective [[1.35335418]] and constraints                   [[0.09731702 1.3885917 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09162931 -1.39791458]]
[[0. 0.]]
For the problem WO, in                   step 10, we get objective [[1.38305091]] and constraints                   [[0.09162931 1.39791458]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07556809 -1.63967996]]
[[0. 0.]]
For the problem WO, in                   step 11, we get objective [[1.36666137]] and constraints                   [[0.07556809 1.63967996]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07211528 -1.46369137]]
[[0. 0.]]
For the problem WO, in                   step 12, we get objective [[1.40239858]] and constraints                   [[0.07211528 1.46369137]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09174362 -1.41711832]]
[[0. 0.]]
For the problem WO, in                   step 13, we get objective [[1.39790327]] and constraints                   [[0.09174362 1.41711832]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07358724 -1.42979736]]
[[0. 0.]]
For the problem WO, in                   step 14, we get objective [[1.39064269]] and constraints                   [[0.07358724 1.42979736]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09317248 -1.53784391]]
[[0. 0.]]
For the problem WO, in                   step 15, we get objective [[1.39199963]] and constraints                   [[0.09317248 1.53784391]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08222191 -1.48919918]]
[[0. 0.]]
For the problem WO, in                   step 16, we get objective [[1.36856105]] and constraints                   [[0.08222191 1.48919918]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08393319 -1.47100034]]
[[0. 0.]]
For the problem WO, in                   step 17, we get objective [[1.38104078]] and constraints                   [[0.08393319 1.47100034]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07675434 -1.56407907]]
[[0. 0.]]
For the problem WO, in                   step 18, we get objective [[1.37157212]] and constraints                   [[0.07675434 1.56407907]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08083535 -1.54757805]]
[[0. 0.]]
For the problem WO, in                   step 19, we get objective [[1.34968567]] and constraints                   [[0.08083535 1.54757805]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08071895 -1.43083541]]
[[0. 0.]]
For the problem WO, in                   step 20, we get objective [[1.39969574]] and constraints                   [[0.08071895 1.43083541]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07946845 -1.44097599]]
[[0. 0.]]
For the problem WO, in                   step 21, we get objective [[1.38329937]] and constraints                   [[0.07946845 1.44097599]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07463677 -1.61137497]]
[[0. 0.]]
For the problem WO, in                   step 22, we get objective [[1.3454399]] and constraints                   [[0.07463677 1.61137497]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08997617 -1.49999739]]
[[0. 0.]]
For the problem WO, in                   step 23, we get objective [[1.33548768]] and constraints                   [[0.08997617 1.49999739]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08242062 -1.37509672]]
[[0. 0.]]
For the problem WO, in                   step 24, we get objective [[1.38651753]] and constraints                   [[0.08242062 1.37509672]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08555032 -1.53041415]]
[[0. 0.]]
For the problem WO, in                   step 25, we get objective [[1.40988192]] and constraints                   [[0.08555032 1.53041415]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08787219 -1.4813638 ]]
[[0. 0.]]
For the problem WO, in                   step 26, we get objective [[1.33825363]] and constraints                   [[0.08787219 1.4813638 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08288705 -1.51043627]]
[[0. 0.]]
For the problem WO, in                   step 27, we get objective [[1.3263292]] and constraints                   [[0.08288705 1.51043627]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09388505 -1.43006852]]
[[0. 0.]]
For the problem WO, in                   step 28, we get objective [[1.37593102]] and constraints                   [[0.09388505 1.43006852]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07430061 -1.5117859 ]]
[[0. 0.]]
For the problem WO, in                   step 29, we get objective [[1.36310516]] and constraints                   [[0.07430061 1.5117859 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07778761 -1.47515283]]
[[0. 0.]]
For the problem WO, in                   step 30, we get objective [[1.35587484]] and constraints                   [[0.07778761 1.47515283]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07813317 -1.59355851]]
[[0. 0.]]
For the problem WO, in                   step 31, we get objective [[1.3587516]] and constraints                   [[0.07813317 1.59355851]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08621021 -1.56526033]]
[[0. 0.]]
For the problem WO, in                   step 32, we get objective [[1.35038362]] and constraints                   [[0.08621021 1.56526033]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08895024 -1.44500599]]
[[0. 0.]]
For the problem WO, in                   step 33, we get objective [[1.40535135]] and constraints                   [[0.08895024 1.44500599]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09345787 -1.5248234 ]]
[[0. 0.]]
For the problem WO, in                   step 34, we get objective [[1.36172897]] and constraints                   [[0.09345787 1.5248234 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09578054 -1.52327733]]
[[0. 0.]]
For the problem WO, in                   step 35, we get objective [[1.36151576]] and constraints                   [[0.09578054 1.52327733]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07790466 -1.48427044]]
[[0. 0.]]
For the problem WO, in                   step 36, we get objective [[1.35571533]] and constraints                   [[0.07790466 1.48427044]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09185969 -1.48368239]]
[[0. 0.]]
For the problem WO, in                   step 37, we get objective [[1.39115056]] and constraints                   [[0.09185969 1.48368239]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08161432 -1.52598269]]
[[0. 0.]]
For the problem WO, in                   step 38, we get objective [[1.39541742]] and constraints                   [[0.08161432 1.52598269]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08708923 -1.55789324]]
[[0. 0.]]
For the problem WO, in                   step 39, we get objective [[1.40014074]] and constraints                   [[0.08708923 1.55789324]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07371211 -1.43306457]]
[[0. 0.]]
For the problem WO, in                   step 40, we get objective [[1.34833865]] and constraints                   [[0.07371211 1.43306457]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07063903 -1.50592933]]
[[0. 0.]]
For the problem WO, in                   step 41, we get objective [[1.38537737]] and constraints                   [[0.07063903 1.50592933]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09655801 -1.61391348]]
[[0. 0.]]
For the problem WO, in                   step 42, we get objective [[1.37759809]] and constraints                   [[0.09655801 1.61391348]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0887015  -1.34182399]]
[[0. 0.]]
For the problem WO, in                   step 43, we get objective [[1.37617292]] and constraints                   [[0.0887015  1.34182399]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08028006 -1.49606221]]
[[0. 0.]]
For the problem WO, in                   step 44, we get objective [[1.36278579]] and constraints                   [[0.08028006 1.49606221]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07573601 -1.40847391]]
[[0. 0.]]
For the problem WO, in                   step 45, we get objective [[1.34928844]] and constraints                   [[0.07573601 1.40847391]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09427224 -1.50403663]]
[[0. 0.]]
For the problem WO, in                   step 46, we get objective [[1.36320462]] and constraints                   [[0.09427224 1.50403663]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09737908 -1.50440473]]
[[0. 0.]]
For the problem WO, in                   step 47, we get objective [[1.38356732]] and constraints                   [[0.09737908 1.50440473]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07010201 -1.50040127]]
[[0. 0.]]
For the problem WO, in                   step 48, we get objective [[1.38921069]] and constraints                   [[0.07010201 1.50040127]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07442659 -1.48374125]]
[[0. 0.]]
For the problem WO, in                   step 49, we get objective [[1.37763704]] and constraints                   [[0.07442659 1.48374125]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09489126 -1.57446599]]
[[0. 0.]]
For the problem WO, in                   step 50, we get objective [[1.33041968]] and constraints                   [[0.09489126 1.57446599]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08398646 -1.60573412]]
[[0. 0.]]
For the problem WO, in                   step 51, we get objective [[1.3322012]] and constraints                   [[0.08398646 1.60573412]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08869518 -1.42320923]]
[[0. 0.]]
For the problem WO, in                   step 52, we get objective [[1.37229214]] and constraints                   [[0.08869518 1.42320923]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08140855 -1.42057008]]
[[0. 0.]]
For the problem WO, in                   step 53, we get objective [[1.36342322]] and constraints                   [[0.08140855 1.42057008]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09623325 -1.5335693 ]]
[[0. 0.]]
For the problem WO, in                   step 54, we get objective [[1.3901055]] and constraints                   [[0.09623325 1.5335693 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08460198 -1.51348889]]
[[0. 0.]]
For the problem WO, in                   step 55, we get objective [[1.37121962]] and constraints                   [[0.08460198 1.51348889]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10129773 -1.47088832]]
[[0. 0.]]
For the problem WO, in                   step 56, we get objective [[1.36497618]] and constraints                   [[0.10129773 1.47088832]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08673711 -1.5009851 ]]
[[0. 0.]]
For the problem WO, in                   step 57, we get objective [[1.37274498]] and constraints                   [[0.08673711 1.5009851 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10078256 -1.52324716]]
[[0. 0.]]
For the problem WO, in                   step 58, we get objective [[1.37094284]] and constraints                   [[0.10078256 1.52324716]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07891122 -1.48369587]]
[[0. 0.]]
For the problem WO, in                   step 59, we get objective [[1.33520543]] and constraints                   [[0.07891122 1.48369587]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08515309 -1.42513061]]
[[0. 0.]]
For the problem WO, in                   step 60, we get objective [[1.34335223]] and constraints                   [[0.08515309 1.42513061]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09242356 -1.45350078]]
[[0. 0.]]
For the problem WO, in                   step 61, we get objective [[1.39955115]] and constraints                   [[0.09242356 1.45350078]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08650275 -1.51186169]]
[[0. 0.]]
For the problem WO, in                   step 62, we get objective [[1.37771477]] and constraints                   [[0.08650275 1.51186169]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09627914 -1.41152958]]
[[0. 0.]]
For the problem WO, in                   step 63, we get objective [[1.35040212]] and constraints                   [[0.09627914 1.41152958]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08357699 -1.47427182]]
[[0. 0.]]
For the problem WO, in                   step 64, we get objective [[1.37769875]] and constraints                   [[0.08357699 1.47427182]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08345888 -1.46225392]]
[[0. 0.]]
For the problem WO, in                   step 65, we get objective [[1.35804647]] and constraints                   [[0.08345888 1.46225392]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09260198 -1.50739105]]
[[0. 0.]]
For the problem WO, in                   step 66, we get objective [[1.35612724]] and constraints                   [[0.09260198 1.50739105]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08308447 -1.46315173]]
[[0. 0.]]
For the problem WO, in                   step 67, we get objective [[1.35906754]] and constraints                   [[0.08308447 1.46315173]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08186961 -1.55954491]]
[[0. 0.]]
For the problem WO, in                   step 68, we get objective [[1.3450428]] and constraints                   [[0.08186961 1.55954491]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08564425 -1.50029202]]
[[0. 0.]]
For the problem WO, in                   step 69, we get objective [[1.36056783]] and constraints                   [[0.08564425 1.50029202]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.1007176  -1.49922508]]
[[0. 0.]]
For the problem WO, in                   step 70, we get objective [[1.36426579]] and constraints                   [[0.1007176  1.49922508]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09440207 -1.47296277]]
[[0. 0.]]
For the problem WO, in                   step 71, we get objective [[1.37373748]] and constraints                   [[0.09440207 1.47296277]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08472946 -1.47151075]]
[[0. 0.]]
For the problem WO, in                   step 72, we get objective [[1.37609731]] and constraints                   [[0.08472946 1.47151075]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07785352 -1.49923316]]
[[0. 0.]]
For the problem WO, in                   step 73, we get objective [[1.42396119]] and constraints                   [[0.07785352 1.49923316]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09432284 -1.45197844]]
[[0. 0.]]
For the problem WO, in                   step 74, we get objective [[1.37456365]] and constraints                   [[0.09432284 1.45197844]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0801969  -1.63641408]]
[[0. 0.]]
For the problem WO, in                   step 75, we get objective [[1.37942011]] and constraints                   [[0.0801969  1.63641408]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08396817 -1.46436382]]
[[0. 0.]]
For the problem WO, in                   step 76, we get objective [[1.36193802]] and constraints                   [[0.08396817 1.46436382]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07575146 -1.49320083]]
[[0. 0.]]
For the problem WO, in                   step 77, we get objective [[1.39945992]] and constraints                   [[0.07575146 1.49320083]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08476591 -1.46934873]]
[[0. 0.]]
For the problem WO, in                   step 78, we get objective [[1.39110014]] and constraints                   [[0.08476591 1.46934873]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07793516 -1.41425233]]
[[0. 0.]]
For the problem WO, in                   step 79, we get objective [[1.38874316]] and constraints                   [[0.07793516 1.41425233]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08373038 -1.38050529]]
[[0. 0.]]
For the problem WO, in                   step 80, we get objective [[1.38203662]] and constraints                   [[0.08373038 1.38050529]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08262064 -1.61319819]]
[[0. 0.]]
For the problem WO, in                   step 81, we get objective [[1.35032022]] and constraints                   [[0.08262064 1.61319819]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.06357473 -1.46223395]]
[[0. 0.]]
For the problem WO, in                   step 82, we get objective [[1.36843097]] and constraints                   [[0.06357473 1.46223395]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07656489 -1.43507572]]
[[0. 0.]]
For the problem WO, in                   step 83, we get objective [[1.38670651]] and constraints                   [[0.07656489 1.43507572]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08618436 -1.51916075]]
[[0. 0.]]
For the problem WO, in                   step 84, we get objective [[1.35155131]] and constraints                   [[0.08618436 1.51916075]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0757904  -1.53911552]]
[[0. 0.]]
For the problem WO, in                   step 85, we get objective [[1.38021889]] and constraints                   [[0.0757904  1.53911552]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08342751 -1.41853301]]
[[0. 0.]]
For the problem WO, in                   step 86, we get objective [[1.37583554]] and constraints                   [[0.08342751 1.41853301]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09241852 -1.49348166]]
[[0. 0.]]
For the problem WO, in                   step 87, we get objective [[1.37454834]] and constraints                   [[0.09241852 1.49348166]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09352283 -1.61727773]]
[[0. 0.]]
For the problem WO, in                   step 88, we get objective [[1.34991511]] and constraints                   [[0.09352283 1.61727773]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09580028 -1.48875616]]
[[0. 0.]]
For the problem WO, in                   step 89, we get objective [[1.35754394]] and constraints                   [[0.09580028 1.48875616]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08499574 -1.57515256]]
[[0. 0.]]
For the problem WO, in                   step 90, we get objective [[1.41590999]] and constraints                   [[0.08499574 1.57515256]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08523377 -1.53099893]]
[[0. 0.]]
For the problem WO, in                   step 91, we get objective [[1.38256069]] and constraints                   [[0.08523377 1.53099893]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08100002 -1.36701712]]
[[0. 0.]]
For the problem WO, in                   step 92, we get objective [[1.37774241]] and constraints                   [[0.08100002 1.36701712]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.06569496 -1.60083789]]
[[0. 0.]]
For the problem WO, in                   step 93, we get objective [[1.41500212]] and constraints                   [[0.06569496 1.60083789]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08595949 -1.47980609]]
[[0. 0.]]
For the problem WO, in                   step 94, we get objective [[1.37811794]] and constraints                   [[0.08595949 1.47980609]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09435072 -1.45598796]]
[[0. 0.]]
For the problem WO, in                   step 95, we get objective [[1.37987024]] and constraints                   [[0.09435072 1.45598796]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09288937 -1.41718723]]
[[0. 0.]]
For the problem WO, in                   step 96, we get objective [[1.36324206]] and constraints                   [[0.09288937 1.41718723]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07670421 -1.48476468]]
[[0. 0.]]
For the problem WO, in                   step 97, we get objective [[1.40660342]] and constraints                   [[0.07670421 1.48476468]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08894882 -1.51047244]]
[[0. 0.]]
For the problem WO, in                   step 98, we get objective [[1.3557865]] and constraints                   [[0.08894882 1.51047244]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07988843 -1.51990256]]
[[0. 0.]]
For the problem WO, in                   step 99, we get objective [[1.34077331]] and constraints                   [[0.07988843 1.51990256]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08426743 -1.50179858]]
[[0. 0.]]
For the problem WO, in                   step 100, we get objective [[1.39335707]] and constraints                   [[0.08426743 1.50179858]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0750646 -1.524303 ]]
[[0. 0.]]
For the problem WO, in                   step 101, we get objective [[1.42843381]] and constraints                   [[0.0750646 1.524303 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0883697  -1.37382281]]
[[0. 0.]]
For the problem WO, in                   step 102, we get objective [[1.35270077]] and constraints                   [[0.0883697  1.37382281]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09297242 -1.50858737]]
[[0. 0.]]
For the problem WO, in                   step 103, we get objective [[1.34763186]] and constraints                   [[0.09297242 1.50858737]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0681823  -1.43737291]]
[[0. 0.]]
For the problem WO, in                   step 104, we get objective [[1.33376091]] and constraints                   [[0.0681823  1.43737291]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07976228 -1.4366995 ]]
[[0. 0.]]
For the problem WO, in                   step 105, we get objective [[1.39543847]] and constraints                   [[0.07976228 1.4366995 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09284291 -1.4215105 ]]
[[0. 0.]]
For the problem WO, in                   step 106, we get objective [[1.38219731]] and constraints                   [[0.09284291 1.4215105 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07178813 -1.51303471]]
[[0. 0.]]
For the problem WO, in                   step 107, we get objective [[1.38739514]] and constraints                   [[0.07178813 1.51303471]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08626335 -1.39936518]]
[[0. 0.]]
For the problem WO, in                   step 108, we get objective [[1.35362145]] and constraints                   [[0.08626335 1.39936518]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09083428 -1.4281781 ]]
[[0. 0.]]
For the problem WO, in                   step 109, we get objective [[1.38948737]] and constraints                   [[0.09083428 1.4281781 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08940092 -1.54237109]]
[[0. 0.]]
For the problem WO, in                   step 110, we get objective [[1.37105096]] and constraints                   [[0.08940092 1.54237109]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08154579 -1.42019404]]
[[0. 0.]]
For the problem WO, in                   step 111, we get objective [[1.34867931]] and constraints                   [[0.08154579 1.42019404]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07846756 -1.46403752]]
[[0. 0.]]
For the problem WO, in                   step 112, we get objective [[1.38360419]] and constraints                   [[0.07846756 1.46403752]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08412141 -1.44008448]]
[[0. 0.]]
For the problem WO, in                   step 113, we get objective [[1.3533578]] and constraints                   [[0.08412141 1.44008448]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08019765 -1.4936371 ]]
[[0. 0.]]
For the problem WO, in                   step 114, we get objective [[1.38782246]] and constraints                   [[0.08019765 1.4936371 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09944747 -1.47814011]]
[[0. 0.]]
For the problem WO, in                   step 115, we get objective [[1.3432126]] and constraints                   [[0.09944747 1.47814011]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08072458 -1.41346518]]
[[0. 0.]]
For the problem WO, in                   step 116, we get objective [[1.37547785]] and constraints                   [[0.08072458 1.41346518]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09006261 -1.46097116]]
[[0. 0.]]
For the problem WO, in                   step 117, we get objective [[1.34459071]] and constraints                   [[0.09006261 1.46097116]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08883383 -1.39048756]]
[[0. 0.]]
For the problem WO, in                   step 118, we get objective [[1.38040958]] and constraints                   [[0.08883383 1.39048756]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08162413 -1.5342341 ]]
[[0. 0.]]
For the problem WO, in                   step 119, we get objective [[1.31669463]] and constraints                   [[0.08162413 1.5342341 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08523241 -1.50970026]]
[[0. 0.]]
For the problem WO, in                   step 120, we get objective [[1.35298967]] and constraints                   [[0.08523241 1.50970026]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09754153 -1.57788981]]
[[0. 0.]]
For the problem WO, in                   step 121, we get objective [[1.39174914]] and constraints                   [[0.09754153 1.57788981]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08464245 -1.46147365]]
[[0. 0.]]
For the problem WO, in                   step 122, we get objective [[1.34696262]] and constraints                   [[0.08464245 1.46147365]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08260545 -1.39140978]]
[[0. 0.]]
For the problem WO, in                   step 123, we get objective [[1.38045893]] and constraints                   [[0.08260545 1.39140978]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07968483 -1.41453651]]
[[0. 0.]]
For the problem WO, in                   step 124, we get objective [[1.38939587]] and constraints                   [[0.07968483 1.41453651]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07590186 -1.45539408]]
[[0. 0.]]
For the problem WO, in                   step 125, we get objective [[1.38091703]] and constraints                   [[0.07590186 1.45539408]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07888589 -1.42895403]]
[[0. 0.]]
For the problem WO, in                   step 126, we get objective [[1.3768411]] and constraints                   [[0.07888589 1.42895403]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0744009  -1.46962726]]
[[0. 0.]]
For the problem WO, in                   step 127, we get objective [[1.35487001]] and constraints                   [[0.0744009  1.46962726]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09405314 -1.43141861]]
[[0. 0.]]
For the problem WO, in                   step 128, we get objective [[1.36816162]] and constraints                   [[0.09405314 1.43141861]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08991243 -1.60161496]]
[[0. 0.]]
For the problem WO, in                   step 129, we get objective [[1.36401132]] and constraints                   [[0.08991243 1.60161496]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08305002 -1.44854541]]
[[0. 0.]]
For the problem WO, in                   step 130, we get objective [[1.36293719]] and constraints                   [[0.08305002 1.44854541]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0878847  -1.46549835]]
[[0. 0.]]
For the problem WO, in                   step 131, we get objective [[1.38123943]] and constraints                   [[0.0878847  1.46549835]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08960281 -1.55233233]]
[[0. 0.]]
For the problem WO, in                   step 132, we get objective [[1.35222744]] and constraints                   [[0.08960281 1.55233233]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08100058 -1.5526135 ]]
[[0. 0.]]
For the problem WO, in                   step 133, we get objective [[1.3823554]] and constraints                   [[0.08100058 1.5526135 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09586015 -1.45568232]]
[[0. 0.]]
For the problem WO, in                   step 134, we get objective [[1.39701045]] and constraints                   [[0.09586015 1.45568232]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07631412 -1.55123954]]
[[0. 0.]]
For the problem WO, in                   step 135, we get objective [[1.32934761]] and constraints                   [[0.07631412 1.55123954]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07618319 -1.51714456]]
[[0. 0.]]
For the problem WO, in                   step 136, we get objective [[1.33457024]] and constraints                   [[0.07618319 1.51714456]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07783685 -1.48498348]]
[[0. 0.]]
For the problem WO, in                   step 137, we get objective [[1.38095704]] and constraints                   [[0.07783685 1.48498348]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09700393 -1.53316834]]
[[0. 0.]]
For the problem WO, in                   step 138, we get objective [[1.33856347]] and constraints                   [[0.09700393 1.53316834]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08740637 -1.47133193]]
[[0. 0.]]
For the problem WO, in                   step 139, we get objective [[1.31180129]] and constraints                   [[0.08740637 1.47133193]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08097828 -1.55953762]]
[[0. 0.]]
For the problem WO, in                   step 140, we get objective [[1.33744018]] and constraints                   [[0.08097828 1.55953762]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08387295 -1.36412402]]
[[0. 0.]]
For the problem WO, in                   step 141, we get objective [[1.35932017]] and constraints                   [[0.08387295 1.36412402]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08143051 -1.49716672]]
[[0. 0.]]
For the problem WO, in                   step 142, we get objective [[1.4041841]] and constraints                   [[0.08143051 1.49716672]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08201148 -1.50733566]]
[[0. 0.]]
For the problem WO, in                   step 143, we get objective [[1.35111252]] and constraints                   [[0.08201148 1.50733566]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08723601 -1.42105572]]
[[0. 0.]]
For the problem WO, in                   step 144, we get objective [[1.38318026]] and constraints                   [[0.08723601 1.42105572]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08855758 -1.49933979]]
[[0. 0.]]
For the problem WO, in                   step 145, we get objective [[1.35950362]] and constraints                   [[0.08855758 1.49933979]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08556316 -1.44007467]]
[[0. 0.]]
For the problem WO, in                   step 146, we get objective [[1.37590473]] and constraints                   [[0.08556316 1.44007467]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08805268 -1.55811469]]
[[0. 0.]]
For the problem WO, in                   step 147, we get objective [[1.39370709]] and constraints                   [[0.08805268 1.55811469]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07792877 -1.58793327]]
[[0. 0.]]
For the problem WO, in                   step 148, we get objective [[1.35837006]] and constraints                   [[0.07792877 1.58793327]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.06131205 -1.57539009]]
[[0. 0.]]
For the problem WO, in                   step 149, we get objective [[1.33846811]] and constraints                   [[0.06131205 1.57539009]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08409077 -1.45950795]]
[[0. 0.]]
For the problem WO, in                   step 150, we get objective [[1.3527758]] and constraints                   [[0.08409077 1.45950795]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08236409 -1.47817307]]
[[0. 0.]]
For the problem WO, in                   step 151, we get objective [[1.38308135]] and constraints                   [[0.08236409 1.47817307]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09243089 -1.49462312]]
[[0. 0.]]
For the problem WO, in                   step 152, we get objective [[1.40937469]] and constraints                   [[0.09243089 1.49462312]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08470729 -1.4406955 ]]
[[0. 0.]]
For the problem WO, in                   step 153, we get objective [[1.38049344]] and constraints                   [[0.08470729 1.4406955 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07906847 -1.47055653]]
[[0. 0.]]
For the problem WO, in                   step 154, we get objective [[1.32392355]] and constraints                   [[0.07906847 1.47055653]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08969936 -1.4926761 ]]
[[0. 0.]]
For the problem WO, in                   step 155, we get objective [[1.36492241]] and constraints                   [[0.08969936 1.4926761 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09028944 -1.57711993]]
[[0. 0.]]
For the problem WO, in                   step 156, we get objective [[1.35750442]] and constraints                   [[0.09028944 1.57711993]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08691194 -1.46128045]]
[[0. 0.]]
For the problem WO, in                   step 157, we get objective [[1.36036679]] and constraints                   [[0.08691194 1.46128045]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08516109 -1.57273612]]
[[0. 0.]]
For the problem WO, in                   step 158, we get objective [[1.35228665]] and constraints                   [[0.08516109 1.57273612]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10031382 -1.35516018]]
[[0. 0.]]
For the problem WO, in                   step 159, we get objective [[1.35132337]] and constraints                   [[0.10031382 1.35516018]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08743338 -1.53028273]]
[[0. 0.]]
For the problem WO, in                   step 160, we get objective [[1.35069148]] and constraints                   [[0.08743338 1.53028273]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09823065 -1.37003149]]
[[0. 0.]]
For the problem WO, in                   step 161, we get objective [[1.35149803]] and constraints                   [[0.09823065 1.37003149]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08047217 -1.50233332]]
[[0. 0.]]
For the problem WO, in                   step 162, we get objective [[1.35618753]] and constraints                   [[0.08047217 1.50233332]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08106603 -1.42582073]]
[[0. 0.]]
For the problem WO, in                   step 163, we get objective [[1.35052044]] and constraints                   [[0.08106603 1.42582073]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07680491 -1.42679715]]
[[0. 0.]]
For the problem WO, in                   step 164, we get objective [[1.36734677]] and constraints                   [[0.07680491 1.42679715]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08588531 -1.41504432]]
[[0. 0.]]
For the problem WO, in                   step 165, we get objective [[1.35341763]] and constraints                   [[0.08588531 1.41504432]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08207912 -1.43821068]]
[[0. 0.]]
For the problem WO, in                   step 166, we get objective [[1.39853257]] and constraints                   [[0.08207912 1.43821068]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0796768  -1.46918696]]
[[0. 0.]]
For the problem WO, in                   step 167, we get objective [[1.36126279]] and constraints                   [[0.0796768  1.46918696]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07518274 -1.44909015]]
[[0. 0.]]
For the problem WO, in                   step 168, we get objective [[1.39576185]] and constraints                   [[0.07518274 1.44909015]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08706123 -1.50714583]]
[[0. 0.]]
For the problem WO, in                   step 169, we get objective [[1.3593224]] and constraints                   [[0.08706123 1.50714583]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09121683 -1.52743535]]
[[0. 0.]]
For the problem WO, in                   step 170, we get objective [[1.35899615]] and constraints                   [[0.09121683 1.52743535]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0871236  -1.48221628]]
[[0. 0.]]
For the problem WO, in                   step 171, we get objective [[1.34020323]] and constraints                   [[0.0871236  1.48221628]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09569074 -1.49018092]]
[[0. 0.]]
For the problem WO, in                   step 172, we get objective [[1.361209]] and constraints                   [[0.09569074 1.49018092]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08012178 -1.41086695]]
[[0. 0.]]
For the problem WO, in                   step 173, we get objective [[1.38570267]] and constraints                   [[0.08012178 1.41086695]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09017232 -1.37722884]]
[[0. 0.]]
For the problem WO, in                   step 174, we get objective [[1.45469023]] and constraints                   [[0.09017232 1.37722884]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09097223 -1.46944071]]
[[0. 0.]]
For the problem WO, in                   step 175, we get objective [[1.36866619]] and constraints                   [[0.09097223 1.46944071]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08739767 -1.44521172]]
[[0. 0.]]
For the problem WO, in                   step 176, we get objective [[1.37481718]] and constraints                   [[0.08739767 1.44521172]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08246237 -1.44474253]]
[[0. 0.]]
For the problem WO, in                   step 177, we get objective [[1.3701625]] and constraints                   [[0.08246237 1.44474253]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.06839531 -1.47897117]]
[[0. 0.]]
For the problem WO, in                   step 178, we get objective [[1.34593012]] and constraints                   [[0.06839531 1.47897117]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0880038  -1.41892385]]
[[0. 0.]]
For the problem WO, in                   step 179, we get objective [[1.38549014]] and constraints                   [[0.0880038  1.41892385]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07827596 -1.559249  ]]
[[0. 0.]]
For the problem WO, in                   step 180, we get objective [[1.35537625]] and constraints                   [[0.07827596 1.559249  ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07378405 -1.43547223]]
[[0. 0.]]
For the problem WO, in                   step 181, we get objective [[1.3834852]] and constraints                   [[0.07378405 1.43547223]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09032111 -1.5063319 ]]
[[0. 0.]]
For the problem WO, in                   step 182, we get objective [[1.36129462]] and constraints                   [[0.09032111 1.5063319 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08206324 -1.546467  ]]
[[0. 0.]]
For the problem WO, in                   step 183, we get objective [[1.37103267]] and constraints                   [[0.08206324 1.546467  ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08190658 -1.52335452]]
[[0. 0.]]
For the problem WO, in                   step 184, we get objective [[1.32923935]] and constraints                   [[0.08190658 1.52335452]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08665461 -1.52277846]]
[[0. 0.]]
For the problem WO, in                   step 185, we get objective [[1.37422744]] and constraints                   [[0.08665461 1.52277846]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08991316 -1.51666358]]
[[0. 0.]]
For the problem WO, in                   step 186, we get objective [[1.39969985]] and constraints                   [[0.08991316 1.51666358]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08744042 -1.53260319]]
[[0. 0.]]
For the problem WO, in                   step 187, we get objective [[1.37936908]] and constraints                   [[0.08744042 1.53260319]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09360469 -1.51504018]]
[[0. 0.]]
For the problem WO, in                   step 188, we get objective [[1.38641137]] and constraints                   [[0.09360469 1.51504018]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08007842 -1.45830747]]
[[0. 0.]]
For the problem WO, in                   step 189, we get objective [[1.40315852]] and constraints                   [[0.08007842 1.45830747]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0836799  -1.53184601]]
[[0. 0.]]
For the problem WO, in                   step 190, we get objective [[1.36084948]] and constraints                   [[0.0836799  1.53184601]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09048737 -1.49995639]]
[[0. 0.]]
For the problem WO, in                   step 191, we get objective [[1.34307538]] and constraints                   [[0.09048737 1.49995639]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08751937 -1.39039265]]
[[0. 0.]]
For the problem WO, in                   step 192, we get objective [[1.35719742]] and constraints                   [[0.08751937 1.39039265]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08302109 -1.59224876]]
[[0. 0.]]
For the problem WO, in                   step 193, we get objective [[1.35492605]] and constraints                   [[0.08302109 1.59224876]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0759825  -1.50185477]]
[[0. 0.]]
For the problem WO, in                   step 194, we get objective [[1.36880334]] and constraints                   [[0.0759825  1.50185477]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09025325 -1.6587349 ]]
[[0. 0.]]
For the problem WO, in                   step 195, we get objective [[1.37870304]] and constraints                   [[0.09025325 1.6587349 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08789651 -1.58652743]]
[[0. 0.]]
For the problem WO, in                   step 196, we get objective [[1.38707844]] and constraints                   [[0.08789651 1.58652743]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08510979 -1.40541524]]
[[0. 0.]]
For the problem WO, in                   step 197, we get objective [[1.38489111]] and constraints                   [[0.08510979 1.40541524]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08483368 -1.5604472 ]]
[[0. 0.]]
For the problem WO, in                   step 198, we get objective [[1.42073437]] and constraints                   [[0.08483368 1.5604472 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07475059 -1.54796408]]
[[0. 0.]]
For the problem WO, in                   step 199, we get objective [[1.37591588]] and constraints                   [[0.07475059 1.54796408]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08955819 -1.35977891]]
[[0. 0.]]
For the problem WO, in                   step 200, we get objective [[1.39038557]] and constraints                   [[0.08955819 1.35977891]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0831202  -1.49898797]]
[[0. 0.]]
For the problem WO, in                   step 201, we get objective [[1.3601648]] and constraints                   [[0.0831202  1.49898797]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07840575 -1.48872071]]
[[0. 0.]]
For the problem WO, in                   step 202, we get objective [[1.34869777]] and constraints                   [[0.07840575 1.48872071]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08728023 -1.47853344]]
[[0. 0.]]
For the problem WO, in                   step 203, we get objective [[1.37258253]] and constraints                   [[0.08728023 1.47853344]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10084763 -1.53182183]]
[[0. 0.]]
For the problem WO, in                   step 204, we get objective [[1.3670423]] and constraints                   [[0.10084763 1.53182183]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09551753 -1.37510156]]
[[0. 0.]]
For the problem WO, in                   step 205, we get objective [[1.34131903]] and constraints                   [[0.09551753 1.37510156]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08682975 -1.52726981]]
[[0. 0.]]
For the problem WO, in                   step 206, we get objective [[1.38770116]] and constraints                   [[0.08682975 1.52726981]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07921799 -1.39285803]]
[[0. 0.]]
For the problem WO, in                   step 207, we get objective [[1.37440984]] and constraints                   [[0.07921799 1.39285803]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07772891 -1.50835377]]
[[0. 0.]]
For the problem WO, in                   step 208, we get objective [[1.36485634]] and constraints                   [[0.07772891 1.50835377]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09992487 -1.37622497]]
[[0. 0.]]
For the problem WO, in                   step 209, we get objective [[1.36231656]] and constraints                   [[0.09992487 1.37622497]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09541026 -1.51435231]]
[[0. 0.]]
For the problem WO, in                   step 210, we get objective [[1.34547276]] and constraints                   [[0.09541026 1.51435231]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07817879 -1.45208138]]
[[0. 0.]]
For the problem WO, in                   step 211, we get objective [[1.39004796]] and constraints                   [[0.07817879 1.45208138]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08896304 -1.5103482 ]]
[[0. 0.]]
For the problem WO, in                   step 212, we get objective [[1.39644775]] and constraints                   [[0.08896304 1.5103482 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08170468 -1.49383227]]
[[0. 0.]]
For the problem WO, in                   step 213, we get objective [[1.33713715]] and constraints                   [[0.08170468 1.49383227]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09589454 -1.69722089]]
[[0. 0.]]
For the problem WO, in                   step 214, we get objective [[1.35326199]] and constraints                   [[0.09589454 1.69722089]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07065203 -1.47438589]]
[[0. 0.]]
For the problem WO, in                   step 215, we get objective [[1.40538863]] and constraints                   [[0.07065203 1.47438589]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07884674 -1.53024667]]
[[0. 0.]]
For the problem WO, in                   step 216, we get objective [[1.36186128]] and constraints                   [[0.07884674 1.53024667]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08833816 -1.46828079]]
[[0. 0.]]
For the problem WO, in                   step 217, we get objective [[1.35785673]] and constraints                   [[0.08833816 1.46828079]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08949767 -1.60063812]]
[[0. 0.]]
For the problem WO, in                   step 218, we get objective [[1.39014928]] and constraints                   [[0.08949767 1.60063812]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08820856 -1.58285003]]
[[0. 0.]]
For the problem WO, in                   step 219, we get objective [[1.37410112]] and constraints                   [[0.08820856 1.58285003]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09923975 -1.38138789]]
[[0. 0.]]
For the problem WO, in                   step 220, we get objective [[1.35978028]] and constraints                   [[0.09923975 1.38138789]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10015332 -1.50914282]]
[[0. 0.]]
For the problem WO, in                   step 221, we get objective [[1.36018765]] and constraints                   [[0.10015332 1.50914282]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07368405 -1.46499448]]
[[0. 0.]]
For the problem WO, in                   step 222, we get objective [[1.35935108]] and constraints                   [[0.07368405 1.46499448]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08237131 -1.37279296]]
[[0. 0.]]
For the problem WO, in                   step 223, we get objective [[1.36101918]] and constraints                   [[0.08237131 1.37279296]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09437896 -1.35604241]]
[[0. 0.]]
For the problem WO, in                   step 224, we get objective [[1.3899505]] and constraints                   [[0.09437896 1.35604241]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08077392 -1.59565712]]
[[0. 0.]]
For the problem WO, in                   step 225, we get objective [[1.40140317]] and constraints                   [[0.08077392 1.59565712]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08787705 -1.51573366]]
[[0. 0.]]
For the problem WO, in                   step 226, we get objective [[1.34654624]] and constraints                   [[0.08787705 1.51573366]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08216504 -1.42454073]]
[[0. 0.]]
For the problem WO, in                   step 227, we get objective [[1.33985029]] and constraints                   [[0.08216504 1.42454073]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09478923 -1.49815652]]
[[0. 0.]]
For the problem WO, in                   step 228, we get objective [[1.3525477]] and constraints                   [[0.09478923 1.49815652]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07642811 -1.47448472]]
[[0. 0.]]
For the problem WO, in                   step 229, we get objective [[1.41656127]] and constraints                   [[0.07642811 1.47448472]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08094708 -1.57123302]]
[[0. 0.]]
For the problem WO, in                   step 230, we get objective [[1.38250145]] and constraints                   [[0.08094708 1.57123302]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0991985  -1.52364007]]
[[0. 0.]]
For the problem WO, in                   step 231, we get objective [[1.37023884]] and constraints                   [[0.0991985  1.52364007]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08408809 -1.54334305]]
[[0. 0.]]
For the problem WO, in                   step 232, we get objective [[1.40952072]] and constraints                   [[0.08408809 1.54334305]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07912973 -1.39656475]]
[[0. 0.]]
For the problem WO, in                   step 233, we get objective [[1.41381759]] and constraints                   [[0.07912973 1.39656475]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08493724 -1.56077404]]
[[0. 0.]]
For the problem WO, in                   step 234, we get objective [[1.34187613]] and constraints                   [[0.08493724 1.56077404]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07556411 -1.61969463]]
[[0. 0.]]
For the problem WO, in                   step 235, we get objective [[1.34085644]] and constraints                   [[0.07556411 1.61969463]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08289049 -1.56775643]]
[[0. 0.]]
For the problem WO, in                   step 236, we get objective [[1.37337618]] and constraints                   [[0.08289049 1.56775643]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09648931 -1.48582173]]
[[0. 0.]]
For the problem WO, in                   step 237, we get objective [[1.35593594]] and constraints                   [[0.09648931 1.48582173]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10380383 -1.32801405]]
[[0. 0.]]
For the problem WO, in                   step 238, we get objective [[1.37549055]] and constraints                   [[0.10380383 1.32801405]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09132803 -1.43375217]]
[[0. 0.]]
For the problem WO, in                   step 239, we get objective [[1.34569487]] and constraints                   [[0.09132803 1.43375217]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08851397 -1.41339549]]
[[0. 0.]]
For the problem WO, in                   step 240, we get objective [[1.36323639]] and constraints                   [[0.08851397 1.41339549]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08547293 -1.51531599]]
[[0. 0.]]
For the problem WO, in                   step 241, we get objective [[1.38981913]] and constraints                   [[0.08547293 1.51531599]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08800103 -1.55032   ]]
[[0. 0.]]
For the problem WO, in                   step 242, we get objective [[1.36455955]] and constraints                   [[0.08800103 1.55032   ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09017429 -1.44975492]]
[[0. 0.]]
For the problem WO, in                   step 243, we get objective [[1.37567589]] and constraints                   [[0.09017429 1.44975492]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08784952 -1.59887673]]
[[0. 0.]]
For the problem WO, in                   step 244, we get objective [[1.37410099]] and constraints                   [[0.08784952 1.59887673]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09358667 -1.44023676]]
[[0. 0.]]
For the problem WO, in                   step 245, we get objective [[1.3841377]] and constraints                   [[0.09358667 1.44023676]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.06328045 -1.46995426]]
[[0. 0.]]
For the problem WO, in                   step 246, we get objective [[1.37303944]] and constraints                   [[0.06328045 1.46995426]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07375457 -1.46653366]]
[[0. 0.]]
For the problem WO, in                   step 247, we get objective [[1.38155706]] and constraints                   [[0.07375457 1.46653366]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09818518 -1.41252909]]
[[0. 0.]]
For the problem WO, in                   step 248, we get objective [[1.36061969]] and constraints                   [[0.09818518 1.41252909]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07968239 -1.56314354]]
[[0. 0.]]
For the problem WO, in                   step 249, we get objective [[1.36798229]] and constraints                   [[0.07968239 1.56314354]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07583437 -1.44054715]]
[[0. 0.]]
For the problem WO, in                   step 250, we get objective [[1.3352703]] and constraints                   [[0.07583437 1.44054715]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08225983 -1.52352338]]
[[0. 0.]]
For the problem WO, in                   step 251, we get objective [[1.32989296]] and constraints                   [[0.08225983 1.52352338]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08507371 -1.45364054]]
[[0. 0.]]
For the problem WO, in                   step 252, we get objective [[1.43649579]] and constraints                   [[0.08507371 1.45364054]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08200087 -1.4677299 ]]
[[0. 0.]]
For the problem WO, in                   step 253, we get objective [[1.37851907]] and constraints                   [[0.08200087 1.4677299 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08737338 -1.43710523]]
[[0. 0.]]
For the problem WO, in                   step 254, we get objective [[1.40027021]] and constraints                   [[0.08737338 1.43710523]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09045503 -1.44767976]]
[[0. 0.]]
For the problem WO, in                   step 255, we get objective [[1.39623699]] and constraints                   [[0.09045503 1.44767976]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09655594 -1.43247145]]
[[0. 0.]]
For the problem WO, in                   step 256, we get objective [[1.37676813]] and constraints                   [[0.09655594 1.43247145]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07722316 -1.55665697]]
[[0. 0.]]
For the problem WO, in                   step 257, we get objective [[1.34621319]] and constraints                   [[0.07722316 1.55665697]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09372892 -1.57616095]]
[[0. 0.]]
For the problem WO, in                   step 258, we get objective [[1.36261704]] and constraints                   [[0.09372892 1.57616095]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08858819 -1.40548371]]
[[0. 0.]]
For the problem WO, in                   step 259, we get objective [[1.35835697]] and constraints                   [[0.08858819 1.40548371]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0849502 -1.6242077]]
[[0. 0.]]
For the problem WO, in                   step 260, we get objective [[1.3677698]] and constraints                   [[0.0849502 1.6242077]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08798758 -1.47094807]]
[[0. 0.]]
For the problem WO, in                   step 261, we get objective [[1.39636623]] and constraints                   [[0.08798758 1.47094807]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09079759 -1.50793598]]
[[0. 0.]]
For the problem WO, in                   step 262, we get objective [[1.33012338]] and constraints                   [[0.09079759 1.50793598]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08170238 -1.53814683]]
[[0. 0.]]
For the problem WO, in                   step 263, we get objective [[1.40002656]] and constraints                   [[0.08170238 1.53814683]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08778539 -1.57416884]]
[[0. 0.]]
For the problem WO, in                   step 264, we get objective [[1.38252266]] and constraints                   [[0.08778539 1.57416884]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08701902 -1.45212075]]
[[0. 0.]]
For the problem WO, in                   step 265, we get objective [[1.37200858]] and constraints                   [[0.08701902 1.45212075]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09621174 -1.40383689]]
[[0. 0.]]
For the problem WO, in                   step 266, we get objective [[1.4196105]] and constraints                   [[0.09621174 1.40383689]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08419876 -1.40005273]]
[[0. 0.]]
For the problem WO, in                   step 267, we get objective [[1.36220129]] and constraints                   [[0.08419876 1.40005273]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08521498 -1.46245499]]
[[0. 0.]]
For the problem WO, in                   step 268, we get objective [[1.34082786]] and constraints                   [[0.08521498 1.46245499]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08158443 -1.52076346]]
[[0. 0.]]
For the problem WO, in                   step 269, we get objective [[1.35306431]] and constraints                   [[0.08158443 1.52076346]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08462481 -1.4764901 ]]
[[0. 0.]]
For the problem WO, in                   step 270, we get objective [[1.37054527]] and constraints                   [[0.08462481 1.4764901 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0839752  -1.49830393]]
[[0. 0.]]
For the problem WO, in                   step 271, we get objective [[1.33488542]] and constraints                   [[0.0839752  1.49830393]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08293837 -1.47520754]]
[[0. 0.]]
For the problem WO, in                   step 272, we get objective [[1.38670796]] and constraints                   [[0.08293837 1.47520754]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07484234 -1.43771099]]
[[0. 0.]]
For the problem WO, in                   step 273, we get objective [[1.35553393]] and constraints                   [[0.07484234 1.43771099]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09118252 -1.42740492]]
[[0. 0.]]
For the problem WO, in                   step 274, we get objective [[1.38845485]] and constraints                   [[0.09118252 1.42740492]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07564002 -1.42349332]]
[[0. 0.]]
For the problem WO, in                   step 275, we get objective [[1.40832871]] and constraints                   [[0.07564002 1.42349332]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09207081 -1.42255468]]
[[0. 0.]]
For the problem WO, in                   step 276, we get objective [[1.39106482]] and constraints                   [[0.09207081 1.42255468]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09576312 -1.44436838]]
[[0. 0.]]
For the problem WO, in                   step 277, we get objective [[1.33002622]] and constraints                   [[0.09576312 1.44436838]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09030076 -1.44077085]]
[[0. 0.]]
For the problem WO, in                   step 278, we get objective [[1.34872225]] and constraints                   [[0.09030076 1.44077085]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08558252 -1.53557829]]
[[0. 0.]]
For the problem WO, in                   step 279, we get objective [[1.38783211]] and constraints                   [[0.08558252 1.53557829]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07261157 -1.52227689]]
[[0. 0.]]
For the problem WO, in                   step 280, we get objective [[1.38763142]] and constraints                   [[0.07261157 1.52227689]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07591433 -1.47358835]]
[[0. 0.]]
For the problem WO, in                   step 281, we get objective [[1.36961848]] and constraints                   [[0.07591433 1.47358835]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0720194 -1.4525225]]
[[0. 0.]]
For the problem WO, in                   step 282, we get objective [[1.37555097]] and constraints                   [[0.0720194 1.4525225]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.07157751 -1.51874521]]
[[0. 0.]]
For the problem WO, in                   step 283, we get objective [[1.40684502]] and constraints                   [[0.07157751 1.51874521]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08439355 -1.51695858]]
[[0. 0.]]
For the problem WO, in                   step 284, we get objective [[1.36991873]] and constraints                   [[0.08439355 1.51695858]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09809468 -1.57903814]]
[[0. 0.]]
For the problem WO, in                   step 285, we get objective [[1.35634561]] and constraints                   [[0.09809468 1.57903814]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10275083 -1.42464123]]
[[0. 0.]]
For the problem WO, in                   step 286, we get objective [[1.35123594]] and constraints                   [[0.10275083 1.42464123]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09543606 -1.47921983]]
[[0. 0.]]
For the problem WO, in                   step 287, we get objective [[1.34662419]] and constraints                   [[0.09543606 1.47921983]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.0864355  -1.47215752]]
[[0. 0.]]
For the problem WO, in                   step 288, we get objective [[1.40490769]] and constraints                   [[0.0864355  1.47215752]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09141935 -1.44038893]]
[[0. 0.]]
For the problem WO, in                   step 289, we get objective [[1.34983639]] and constraints                   [[0.09141935 1.44038893]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08346038 -1.4836982 ]]
[[0. 0.]]
For the problem WO, in                   step 290, we get objective [[1.38436737]] and constraints                   [[0.08346038 1.4836982 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08345324 -1.47966109]]
[[0. 0.]]
For the problem WO, in                   step 291, we get objective [[1.35029036]] and constraints                   [[0.08345324 1.47966109]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08138605 -1.45907242]]
[[0. 0.]]
For the problem WO, in                   step 292, we get objective [[1.34193636]] and constraints                   [[0.08138605 1.45907242]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08422075 -1.51936874]]
[[0. 0.]]
For the problem WO, in                   step 293, we get objective [[1.36800264]] and constraints                   [[0.08422075 1.51936874]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.080059  -1.4948996]]
[[0. 0.]]
For the problem WO, in                   step 294, we get objective [[1.36985151]] and constraints                   [[0.080059  1.4948996]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08941535 -1.48353377]]
[[0. 0.]]
For the problem WO, in                   step 295, we get objective [[1.39805908]] and constraints                   [[0.08941535 1.48353377]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.10013013 -1.3954484 ]]
[[0. 0.]]
For the problem WO, in                   step 296, we get objective [[1.3993587]] and constraints                   [[0.10013013 1.3954484 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08526971 -1.5161437 ]]
[[0. 0.]]
For the problem WO, in                   step 297, we get objective [[1.33395611]] and constraints                   [[0.08526971 1.5161437 ]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.09352549 -1.53637086]]
[[0. 0.]]
For the problem WO, in                   step 298, we get objective [[1.35183886]] and constraints                   [[0.09352549 1.53637086]].
Safe Opt fails to return a solution.
There are no safe points to evaluate.
[[-0.08949192 -1.54105155]]
[[0. 0.]]
For the problem WO, in                   step 299, we get objective [[1.33686911]] and constraints                   [[0.08949192 1.54105155]].