CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python
A stochastic numerical optimization algorithm for difficult
(non-convex, ill-conditioned, multi-modal, rugged, noisy) optimization
problems in continuous search spaces, implemented in Python.
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Filename | Size | Changed |
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cma-3.3.0.tar.gz | 0000776265 758 KB | |
python-cma.changes | 0000001701 1.66 KB | |
python-cma.spec | 0000002112 2.06 KB |
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baserev update by copy to link target
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