GA-selection revisited from an ES-Driven point of view

Authors:
Michael Affenzeller;Stefan Wagner;Stephan Winkler
Affiliations:
Institute for Formal Models and Verification, Johannes Kepler University, Linz, Austria;Institute for Formal Models and Verification, Johannes Kepler University, Linz, Austria;Institute for Formal Models and Verification, Johannes Kepler University, Linz, Austria
Venue:
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Year:
2005

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Abstract

Whereas the selection concept of Genetic Algorithms (GAs) and Genetic Programming (GP) is basically realized by the selection of above-average parents for reproduction, Evolution Strategies (ES) use the fitness of newly evolved offspring as the basis for selection (survival of the fittest due to birth surplus). This contribution proposes a generic and enhanced selection model for GAs considering selection aspects of population genetics and ES. Some selected aspects of these enhanced techniques are discussed exemplarily on the basis of standardized benchmark problems.