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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Source Files (show merged sources derived from linked package)
| Filename | Size | Changed |
|---|---|---|
| _link | 0000000124 124 Bytes | |
| cma-4.0.0.tar.gz | 0000799410 781 KB | |
| python-cma.changes | 0000003372 3.29 KB | |
| python-cma.spec | 0000002081 2.03 KB |
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