19 lines
972 B
Text
19 lines
972 B
Text
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pygmo is a scientific Python library for massively parallel optimization. It is
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built around the idea of providing a unified interface to optimization
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algorithms and problems, and to make their deployment in massively parallel
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environments easy.
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Efficient implementantions of bio-inspired and evolutionary algorithms are sided
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to state-of-the-art optimization algorithms (Simplex Methods, SQP methods,
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interior points methods, ...) and can be easily mixed (also with your
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newly-invented algorithms) to build a super-algorithm exploiting algorithmic
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cooperation via the asynchronous, generalized island model.
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pygmo can be used to solve constrained, unconstrained, single objective,
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multiple objective, continuous and integer optimization problems, stochastic and
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deterministic problems, as well as to perform research on novel algorithms and
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paradigms, and easily compare them to state-of-the-art implementations of
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established ones.
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WWW: https://esa.github.io/pygmo2/
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