This release is a pre-release and may not be stable for production use.
The Selfish Gene Algorithm is a population-less evolutionary optimizer loosely inspired by the dashing interpretation of the Darwinian theory popularized in the scientific blockbuster The Selfish Gene. It enables a user to efficiently find the list parameters, either discrete symbols or real numbers, that maximizes a given target function
Since 1998, the Selfish Gene was exploited by different researchers, and a few brand new approaches derived from it. For celebrating (almost) a quarter century mark, it has been rewritten from scratch in Python 3, with improved usability and tons of new features.
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twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
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