CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python
copied from cf-staging / cmaThe 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.
