About the Dynamics of Essential Genetic Information: An Empirical Analysis for Selected GA-Variants

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

This paper exemplarily points out how essential genetic information evolves during the runs of selected GA-variants. The algorithmic enhancements to a standard genetic algorithm certify the survival of essential genetic information by supporting the survival of relevant alleles rather than the survival of above average chromosomes. This is achieved by defining the survival probability of a new child chromosome depending on the child's fitness in comparison to the fitness values of its own parents. The main aim of this paper is to explain important properties of the discussed algorithm variants in a rather intuitive way. Aspects for meaningful and practically more relevant generalizations as well as more sophisticated experimental analyses are indicated.

OriginalspracheEnglisch
Titel2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - Proceedings of the 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09
Herausgeber (Verlag)ACM Sigevo
Seiten787-790
Seitenumfang4
ISBN (Print)9781605583266
DOIs
PublikationsstatusVeröffentlicht - 2009
Veranstaltung2009 World Summit on Genetic and Evolutionary Computation (2009 GEC Summit) - Shanghai, China
Dauer: 12 Jun 200914 Jun 2009
http://www.sigevo.org/gec-summit-2009/

Publikationsreihe

Name2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - Proceedings of the 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09

Konferenz

Konferenz2009 World Summit on Genetic and Evolutionary Computation (2009 GEC Summit)
Land/GebietChina
OrtShanghai
Zeitraum12.06.200914.06.2009
Internetadresse

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