Goal-oriented preservation of essential genetic information by offspring selection

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12 Citations (Scopus)

Abstract

This contribution proposes an enhanced and generic selection model for Genetic Algorithms (GAs) and Genetic Programming (GP) 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 standardized benchmark problems.

Original languageEnglish
Title of host publicationGECCO 2005 - Genetic and Evolutionary Computation Conference
EditorsH.G. Beyer, U.M. O'Reilly, D. Arnold, W. Banzhaf, C. Blum, E.W. Bonabeau, E. Cantu-Paz, D. Dasgupta, K. Deb, al et al
PublisherACM Sigevo
Pages1595-1596
Number of pages2
ISBN (Print)1595930108
DOIs
Publication statusPublished - 2005
EventGECCO 2005 - Genetic and Evolutionary Computation Conference - Washington, D.C., United States
Duration: 25 Jun 200529 Jun 2005

Publication series

NameGECCO 2005 - Genetic and Evolutionary Computation Conference

Conference

ConferenceGECCO 2005 - Genetic and Evolutionary Computation Conference
CountryUnited States
CityWashington, D.C.
Period25.06.200529.06.2005

Keywords

  • Adaptation/self adaptation
  • Genetic Algorithms
  • Selection

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