Contents

cma 4.0.0

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

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

Stars: 1089, Watchers: 1089, Forks: 177, Open Issues: 48

The CMA-ES/pycma repo was created 8 years ago and the last code push was 3 days ago.
The project is very popular with an impressive 1089 github stars!

How to Install cma

You can install cma using pip

pip install cma

or add it to a project with poetry

poetry add cma

Package Details

Author
Nikolaus Hansen
License
BSD
Homepage
https://github.com/CMA-ES/pycma
PyPi:
https://pypi.org/project/cma/
GitHub Repo:
https://github.com/CMA-ES/pycma

Classifiers

  • Scientific/Engineering
  • Scientific/Engineering/Artificial Intelligence
  • Scientific/Engineering/Mathematics
No  cma  pypi packages just yet.

Errors

A list of common cma errors.

Code Examples

Here are some cma code examples and snippets.

GitHub Issues

The cma package has 48 open issues on GitHub

  • EvalParallel2 limitation

See more issues on GitHub