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
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Source Files
Filename | Size | Changed |
---|---|---|
cma-3.0.3.tar.gz | 0000219969 215 KB | |
python-cma.changes | 0000000625 625 Bytes | |
python-cma.spec | 0000002092 2.04 KB |
Revision 2 (latest revision is 4)
Dominique Leuenberger (dimstar_suse)
accepted
request 885958
from
Steve Kowalik (StevenK)
(revision 2)
- Don't build for Python 3.6, due to no NumPy.
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