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 | 0000001701 1.66 KB | |
| python-cma.spec | 0000002112 2.06 KB |
Latest Revision
Ana Guerrero (anag+factory)
accepted
request 1187018
from
Steve Kowalik (StevenK)
(revision 5)
- Restrict numpy to < 2. - Switch to pyproject macros. - No more globs in %files.
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