Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES)

cmaes is a lightweight Python library providing an implementation of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for numerical optimization. It offers a simple "ask-and-tell" interface and has expanded to include various advanced CMA-ES variants such as CatCMA, CMAwM, and COMO-CatCMAwM, catering to mixed-variable and multi-objective optimization problems. The library is actively maintained, currently at version 0.13.0, with frequent updates introducing new algorithms and features.