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@@ -22,6 +22,12 @@ Documentations of PyPop7 for Black-Box Optimization (BBO)
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.. image:: https://readthedocs.org/projects/pypop/badge/?version=latest
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:target: https://readthedocs.org/projects/pypop/
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`"Responsible for adaptation, optimization, and innovation in the living world, evolution
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executes a simple algorithm of diversifcation and natural selection, an algorithm that
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works at all levels of complexity from single protein molecules to whole ecosystems.
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"---From Nobel Lecture of Frances H. Arnold in California Institute of Technology
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<https://www.nobelprize.org/uploads/2018/10/arnold-lecture.pdf>`_
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**PyPop7** is a *Pure-PYthon* library of *POPulation-based OPtimization* for single-objective,
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real-parameter, black-box problems. Its design goal is to provide a *unified* interface and a
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set of *elegant* implementations for **Black-Box Optimizers (BBO)**, particularly

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