CMA-ES (pycma) for Numerical Optimization

CMA-ES (pycma) is a Python implementation of the Covariance Matrix Adaptation Evolution Strategy, a robust randomized derivative-free numerical optimization algorithm. It is designed for challenging non-convex, ill-conditioned, multi-modal, rugged, and noisy problems in continuous and mixed-integer search spaces. The library is currently at version 4.4.4 and maintains an active release cadence with regular improvements and bug fixes.