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@@ -24,6 +24,13 @@ entirely freely for any (no matter *open-source* or *closed-source*) purposes.
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## How to Quickly Use
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"[In our opinion, the main fact, which should be known to any person dealing with optimization
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models, is that in general, optimization problems are unsolvable. This statement, which is
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usually missing in standard optimization courses, is very important for understanding
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optimization theory and the logic of its development in the past and in the
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future.](https://tinyurl.com/4yccr5k8)"
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---**[Yurii Nesterov](https://en.wikipedia.org/wiki/Yurii_Nesterov)**
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The following three steps are enough to utilize the **black-box optimization** power of
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[PyPop7](https://pypi.org/project/pypop7/):
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this *well-designed* ("**self-boasted**") Python library for Black-Box Optimization ([several
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online praises from others](https://pypop.readthedocs.io/en/latest/applications.html)).
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"[In our opinion, the main fact, which should be known to any person dealing with optimization
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models, is that in general, optimization problems are unsolvable. This statement, which is
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usually missing in standard optimization courses, is very important for understanding
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optimization theory and the logic of its development in the past and in the
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future.](https://tinyurl.com/4yccr5k8)"---**Yurii Nesterov**
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A total of four extended versions of PyPop7 (as **PP7**) are ongoing or planned for further
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development:
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For Constrained Optimization (PyCoPop7 as PCP7),
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For Noisy Optimization (PyNoPop7 as PNP7),
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Enhancement via Parallel and Distributed Optimization (PyPop77 as PP77),
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Enhancement via Meta-evolution based Optimization (PyMePop7 as PMP7).
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## A (Still Growing) Number of Black-Box Optimizers (BBO)
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