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A Brief Introduction to Continuous Evolutionary OptimizationEvolution Strategies

A Brief Introduction to Continuous Evolutionary Optimization: Evolution Strategies [Many real-world problems are multimodal, which renders an optimization problem difficult to solve. Local search methods, i.e., methods that greedily improve solutions based on search in the neighborhood of a solution, often only find an arbitrary local optimum that is not guaranteed to be the global one.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Brief Introduction to Continuous Evolutionary OptimizationEvolution Strategies

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-03421-8
Pages
15 –26
DOI
10.1007/978-3-319-03422-5_2
Publisher site
See Chapter on Publisher Site

Abstract

[Many real-world problems are multimodal, which renders an optimization problem difficult to solve. Local search methods, i.e., methods that greedily improve solutions based on search in the neighborhood of a solution, often only find an arbitrary local optimum that is not guaranteed to be the global one.]

Published: Dec 5, 2013

Keywords: Particle Swarm Optimization; Differential Evolution; Mutation Operator; Evolutionary Search; Covariance Matrix Adaptation Evolution Strategy

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