The influence of population genetics for the redesign of genetic algorithms

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

This contribution considers recent results of population genetics in order to present generic extensions to the general concept of a Genetic Algorithm (GA). Consequently a new model for self-adaptive selection pressure steering is presented (Offspring Selection), taking advantage of the interplay between directed genetic drift and selection, resulting in a new class of Genetic Algorithms. As a result we introduce and empirically analyze the generic extensions to the general GA concept, which make genetic search more stable in terms of operators, and allows steering and scaling up of global solution quality to highest quality regions without using problem specific information or local searches.

Original languageEnglish
Pages53-60
Number of pages8
Publication statusPublished - 2004
Externally publishedYes
Event15th International Conference on Systems Science - Wroclaw, Poland
Duration: 7 Sep 200410 Sep 2004

Conference

Conference15th International Conference on Systems Science
CountryPoland
CityWroclaw
Period07.09.200410.09.2004

Keywords

  • Genetic algorithms
  • Genetic drift
  • Population genetics
  • Premature convergence

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