SexualGA: Gender-Specifc Selection for Genetic Algorithms

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag


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.
TitelProceedings of the 9th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI) 2005
Herausgeber (Verlag)International Institute of Informatics and Systemics
PublikationsstatusVeröffentlicht - 2005
Veranstaltung9th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI) 2005 - Orlando, USA/Vereinigte Staaten
Dauer: 10 Juli 200513 Juli 2005


Konferenz9th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI) 2005
Land/GebietUSA/Vereinigte Staaten


  • Genetic Algorithms
  • Selection
  • Selection Pressure
  • Population Genetics


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