Evolutionary Strategies

Ke-Lin Du () and M. N. S. Swamy ()
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Ke-Lin Du: Xonlink Inc
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 5 in Search and Optimization by Metaheuristics, 2016, pp 83-91 from Springer

Abstract: Abstract Evolutionary strategy (ES) paradigm is one of the most successful EAs. Evolutionary gradient search and gradient evolution are two methods that use EA to construct gradient information for directing the search efficiently. Covariance matrix adaptation (CMA) ES [11] accelerates the search efficiency by supposing that the local solution space of the current point has a quadratic shape.

Keywords: Evolutionary Strategy; Mutation Operator; Covariance Matrix Adaptation; Gaussian Mutation; Rosenbrock Function (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-41192-7_5

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