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.
- Developed at devel:languages:python:numeric
- Sources inherited from project openSUSE:Factory
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Source Files
| Filename | Size | Changed |
|---|---|---|
| cma-3.0.3.tar.gz | 0000219969 215 KB | |
| python-cma.changes | 0000000437 437 Bytes | |
| python-cma.spec | 0000002050 2 KB |
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