The CMA-ES is a stochastic optimizer for continuous non-linear non-convex problems that adapts a multivariate normal search distribution using covariance matrix updates derived from intuitive requirements.
The Cross-Entropy Method: a unified approach to combina- torial optimization, Monte-Carlo simulation, and machine learning
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The CMA Evolution Strategy: A Tutorial
The CMA-ES is a stochastic optimizer for continuous non-linear non-convex problems that adapts a multivariate normal search distribution using covariance matrix updates derived from intuitive requirements.