On the Statistical Learning Ability of Evolution Strategies

Abstract

We explore the ability of Evolution Strategies (ESs) to statistically learn the local landscape. Specifically, we consider ESs operating only with isotropic Gaussian mutations near the optimum and investigate the covariance matrix when constructed out of selected individuals by truncation. Unlike previous studies, we do not assume a Derandomization… (More)
DOI: 10.1145/3040718.3040722

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