Effective Allele Preservation by Offspring Selection: An empirical study for the TSP

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

The basic selection ideas of the different representatives of evolutionary algorithms are sometimes quite diverse. The selection concept of genetic algorithms (GAs) and genetic programming (GP) is basically realized by the selection of above-average parents for reproduction whereas 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 considers aspects of population genetics and Evolution Strategies in order to propose an enhanced and generic selection model for Genetic Algorithms which is able to preserve the alleles which are part of a high quality solution. Some selected aspects of these enhanced techniques are discussed exemplarily on the basis of travelling salesman benchmark (TSP) benchmark problem instances.
OriginalspracheEnglisch
TitelProceedings of the 20th European Modeling and Simulation Symposium
Herausgeber (Verlag)DIPTEM University of Genova
Seiten59-68
ISBN (Print)978-88-903724-0-7
PublikationsstatusVeröffentlicht - 2008
VeranstaltungInternational Mediterranean and Latin American Modeling Multiconference (I3M 2008) - Campora San Giovanni, Italien
Dauer: 17 Sep. 200819 Sep. 2008
http://www.liophant.org/i3m/

Konferenz

KonferenzInternational Mediterranean and Latin American Modeling Multiconference (I3M 2008)
Land/GebietItalien
OrtCampora San Giovanni
Zeitraum17.09.200819.09.2008
Internetadresse

Schlagwörter

  • softcomputing
  • evolutionary computation
  • selection
  • self adaptation

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