Update README.md

Author: Evolutionary-Intelligence

README.md

@@ -631,7 +631,7 @@ reported in the (actively-updated) paper list called
   * Hansen, N. and Ostermeier, A., 1996, May. [Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation](https://ieeexplore.ieee.org/abstract/document/542381). In CEC (pp. 312-317). IEEE. [ Hansen, N. and Ostermeier, A., 2001. [Completely derandomized self-adaptation in evolution strategies](https://direct.mit.edu/evco/article-abstract/9/2/159/892/Completely-Derandomized-Self-Adaptation-in). ECJ, 9(2), pp.159-195. ] + [ Hansen, N., Müller, S.D. and Koumoutsakos, P., 2003. [Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)](https://direct.mit.edu/evco/article-abstract/11/1/1/1139/Reducing-the-Time-Complexity-of-the-Derandomized). ECJ, 11(1), pp.1-18. ] + [ Auger, A. and Hansen, N., 2005, September. [A restart CMA evolution strategy with increasing population size](https://ieeexplore.ieee.org/abstract/document/1554902). In CEC (pp. 1769-1776). IEEE. ] + [ Hansen, N. and Auger, A., 2014. [Principled design of continuous stochastic search: From theory to practice](https://link.springer.com/chapter/10.1007/978-3-642-33206-7_8). In Theory and Principled Methods for the Design of Metaheuristics (pp. 145-180). Springer, Berlin, Heidelberg. ]
   * Rudolph, G., 1992. [On correlated mutations in evolution strategies](https://ls11-www.cs.tu-dortmund.de/people/rudolph/publications/papers/PPSN92.pdf). In PPSN (pp. 105-114).
   * Schwefel, H.P., 1984. [Evolution strategies: A family of non-linear optimization techniques based on imitating some principles of organic evolution](https://link.springer.com/article/10.1007/BF01876146). Annals of Operations Research, 1(2), pp.165-167. [ Schwefel, H.P., 1988. [Collective intelligence in evolving systems](https://link.springer.com/chapter/10.1007/978-3-642-73953-8_8). In Ecodynamics (pp. 95-100). Springer, Berlin, Heidelberg. ]
-  * Rechenberg, I., 1984. [The evolution strategy. A mathematical model of darwinian evolution](https://link.springer.com/chapter/10.1007/978-3-642-69540-7_13). In Synergetics—from Microscopic to Macroscopic Order (pp. 122-132). Springer, Berlin, Heidelberg. [ Rechenberg, I., 1989. [Evolution strategy: Nature’s way of optimization](https://link.springer.com/chapter/10.1007/978-3-642-83814-9_6). In Optimization: Methods and Applications, Possibilities and Limitations (pp. 106-126). Springer, Berlin, Heidelberg. ]
+
   * Applications: e.g., [Deng et al., 2023](https://www.chimechallenge.org/current/workshop/papers/CHiME_2023_DASR_deng.pdf); [Zhang et al., 2023, NeurIPS](https://arxiv.org/pdf/2310.18622.pdf); [Tjanaka et al., 2023, IEEE-LRA](https://scalingcmamae.github.io/); [Yu et al., 2023, IJCAI](https://www.ijcai.org/proceedings/2023/0187.pdf); [Zhu et al., 2023, IEEE/ASME-TMECH](https://ieeexplore.ieee.org/abstract/document/10250896); [Fadini et al., 2023](https://laas.hal.science/hal-04162737/file/versatileQuadrupedCodesign_preprint.pdf); [Ma et al., 2023](https://cs.brown.edu/~gdk/pubs/skillgen_verbs.pdf); [Kim et al., 2023, Science Robotics](https://www.science.org/doi/10.1126/scirobotics.add1053); [Slade et al., 2022, Nature](https://www.nature.com/articles/s41586-022-05191-1); [Sun et al., 2022, ICML](https://proceedings.mlr.press/v162/sun22e.html); [Tjanaka et al., 2022, GECCO](https://dl.acm.org/doi/10.1145/3512290.3528705); [Wang&Ponce, 2022, GECCO](https://dl.acm.org/doi/10.1145/3512290.3528725), [Tian&Ha, 2022, EvoStar](https://link.springer.com/chapter/10.1007/978-3-031-03789-4_18); [Hansel et al., 2021](https://link.springer.com/chapter/10.1007/978-3-030-41188-6_7); [Anand et al., 2021, MLST](https://iopscience.iop.org/article/10.1088/2632-2153/abf3ac); [Nomura et al., 2021, AAAI](https://ojs.aaai.org/index.php/AAAI/article/view/17109); [Zheng et al., 2021, IEEE-ASRU](https://ieeexplore.ieee.org/abstract/document/9688232); [Liu et al., 2019, AAAI](https://ojs.aaai.org/index.php/AAAI/article/view/4345); [Dong et al., 2019, CVPR](https://ieeexplore.ieee.org/document/8953400); [Ha&Schmidhuber, 2018, NeurIPS](https://papers.nips.cc/paper/2018/hash/2de5d16682c3c35007e4e92982f1a2ba-Abstract.html); [Müller&Glasmachers, 2018, PPSN](https://link.springer.com/chapter/10.1007/978-3-319-99259-4_33); [Chrabąszcz et al., 2018, IJCAI](https://www.ijcai.org/proceedings/2018/197); [OpenAI, 2017](https://openai.com/blog/evolution-strategies/); [Zhang et al., 2017, Science](https://www.science.org/doi/10.1126/science.aal5054).
 * **Natural Evolution Strategies (NES)**
   * Wierstra, D., Schaul, T., Glasmachers, T., Sun, Y., Peters, J. and Schmidhuber, J., 2014. [Natural evolution strategies](https://jmlr.org/papers/v15/wierstra14a.html). JMLR, 15(1), pp.949-980.
@@ -886,6 +886,9 @@ reported in the (actively-updated) paper list called
   [Adaptation in natural and artificial systems: An introductory analysis with applications to
   biology, control, and artificial intelligence](https://tinyurl.com/ywm335f5).
   MIT Press.
+* [Rechenberg](), 1984.
+  [The evolution strategy. A mathematical model of darwinian evolution](https://link.springer.com/chapter/10.1007/978-3-642-69540-7_13).
+  In Synergetics—from Microscopic to Macroscopic Order (pp. 122-132). Springer.
 * [Fogel](), et al., 1966.
   Artificial intelligence through simulated evolution.
   John Wiley & Sons Inc.