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
May 10, 2024 at 15:48
License
BSD-3-Clause
Total Downloads
12.4K
Supported Platforms
GitHub Repository
https://github.com/CMA-ES/pycmaDocumentation
https://cma-es.github.io/apidocs-pycma/