CMA-ES (Covariance Matrix Adaptation Evolution Strategy): Evolutionary Algorithms, Evolutionary Computation, Objective Function, Numerical Optimization. - Couverture souple

 
9786132884756: CMA-ES (Covariance Matrix Adaptation Evolution Strategy): Evolutionary Algorithms, Evolutionary Computation, Objective Function, Numerical Optimization.

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. CMA-ES stands for Covariance Matrix Adaptation Evolution Strategy. An evolution strategy (ES) is a stochastic, derivative-free numerical optimization method for non-linear or non-convex problems, belonging to the class of evolutionary algorithms and evolutionary computation. In an evolution strategy, new candidate solutions are sampled according to a multivariate normal distribution. Pairwise dependencies between the variables in this distribution are described by a covariance matrix.

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