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CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python

Copied fromcf-staging / cma

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::cma

Usage Tracking

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Downloads (Last 6 months): 0

Description

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.

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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

197.3K

Version Downloads

93.4K

Supported Platforms

noarch