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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- Links to openSUSE:Factory / python-cma
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osc -A https://api.opensuse.org checkout devel:languages:python:numeric/python-cma && cd $_
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Source Files (show merged sources derived from linked package)
| Filename | Size | Changed |
|---|---|---|
| _link | 0000000124 124 Bytes | 9 months |
| cma-3.0.3.tar.gz | 0000219969 215 KB | over 1 year |
| python-cma.changes | 0000000625 625 Bytes | 9 months |
| python-cma.spec | 0000002092 2.04 KB | 9 months |
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