SexualGA: Gender-specific selection for genetic algorithms

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31 Citations (Scopus)

Abstract

Selection for reproduction in the context of Genetic Algorithms uses only one selection scheme to select parent individuals. When considering the model of sexual selection in the area of population genetics it gets obvious that the process of choosing mating partners in natural populations is different for male and female individuals. In this paper the authors introduce a new selection paradigm for Genetic Algorithms (SexualGA) based upon the concepts of male vigor and female choice of population genetics which provides the possibility to use two different selection schemes simultaneously within one algorithm. By using this new concept it is possible to simulate sexual selection in natural populations more precisely. Furthermore, SexualGA also offers far more flexibility concerning the adaptivity of selection pressure enabling the GA user to tune the algorithm more accurately.

Original languageEnglish
Title of host publicationWMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Pages76-81
Number of pages6
Publication statusPublished - 2005
Event9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005 - Orlando, FL, United States
Duration: 10 Jul 200513 Jul 2005

Publication series

NameWMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Volume4

Conference

Conference9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005
CountryUnited States
CityOrlando, FL
Period10.07.200513.07.2005

Keywords

  • Genetic algorithms
  • Population genetics
  • Selection
  • Selection pressure

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