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-3.3.0.tar.gz | 0000776265 758 KB | |
| python-cma.changes | 0000001478 1.44 KB | |
| python-cma.spec | 0000002092 2.04 KB |
Revision 4 (latest revision is 5)
Dominique Leuenberger (dimstar_suse)
accepted
request 1061747
from
Dirk Mueller (dirkmueller)
(revision 4)
- update to 3.3.0: * Diagonal decoding, fmin functions with surrogate and more.
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