Package profile
cma
- Summary: CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python
- Author: Nikolaus Hansen, Youhei Akimoto, Petr Baudis
- License: BSD-3-Clause
- Homepage: https://github.com/CMA-ES/pycma
- Source: https://github.com/CMA-ES/pycma
- Number of releases: 31
- First release: 1.0.09 on 2014-05-12
- Latest release: 4.5.0 on 2026-09-13
- Latest release size: 339.1 KB (pure Python wheel)
Dependencies
Cma has 4 dependencies, 3 of which optional.View all 4 dependencies →Dependent packages
| Package | Optional | Group |
|---|---|---|
| evojax | false | |
| nevergrad | false | |
| pymoo | false | |
| botorch | true | tutorials |
| olymp | true | all |
Similar packages
- cmaesLightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python 3.
- nevergradA Python toolbox for performing gradient-free optimization
- cvxpyA domain-specific language for modeling convex optimization problems in Python.
- pyomoThe Pyomo optimization modeling framework
- scikit-optimizeSequential model-based optimization toolbox.
- scipyFundamental algorithms for scientific computing in Python
- pycaretPyCaret - An open source, low-code machine learning library in Python.