cma
CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python
CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python
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The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a stochastic derivative-free numerical optimization algorithm for difficult (non-convex, ill-conditioned, multi-modal, rugged, noisy) optimization problems in continuous search spaces.
Summary
CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python
Last Updated
Sep 3, 2024 at 21:27
License
BSD-3-Clause
Total Downloads
196.9K
Version Downloads
93.1K
Supported Platforms
Documentation
http://cma.gforge.inria.fr/apidocs-pycma/