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cma

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

Installation

To install this package, run one of the following:

Conda
$conda install sfe1ed40::cma

Usage Tracking

3.2.2
1 / 8 versions selected
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.

About

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

linux-s390x
linux-aarch64
linux-64
macOS-arm64
macOS-64
win-64