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Genetic Algorithms and evolution strategies: Similarities and differences

Lecture notes in computer sciencePublished 12 January 2006
Frank Hoffmeister, Thomas Bäck
Citations225
SJR quartileQ2
SJR score0.35
SNIP0.55

TL;DR

It is shown, that both Evolution Strategies and Genetic Algorithms are identical with respect to their major working scheme, but nevertheless they exhibit significant differences withrespect to the details of the selection scheme, the amount of the genetic representation and, especially, the self-adaptation of strategy parameters.

Abstract

Evolution Strategies (ESs) and Genetic Algorithms (GAs) are compared in a formal as well as in an experimental way. It is shown, that both are identical with respect to their major working scheme, but nevertheless they exhibit significant differences with respect to the details of the selection scheme, the amount of the genetic representation and, especially, the self-adaptation of strategy parameters.

Keywords

Computer Science