Selective crossover: Towards fitter offspring

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

A new general purpose crossover operator is proposed. The representation of a parent chromosome is slightly perturbed, and the ensuing changes in fitness are calculated. Such fitness changes are used in constructing the offspring resulting from crossover. Experiments on four sets of optimization problems demonstrate that this approach leads to rapid increases in average and best fitness, performing much better than commonly used general purpose crossover operators.

Original languageEnglish (US)
Title of host publicationProceedings of the 1998 ACM Symposium on Applied Computing, SAC 1998
PublisherAssociation for Computing Machinery
Pages374-378
Number of pages5
ISBN (Electronic)0897919696
DOIs
StatePublished - Feb 27 1998
Event1998 ACM Symposium on Applied Computing, SAC 1998 - Atlanta, United States
Duration: Feb 27 1998Mar 1 1998

Publication series

NameProceedings of the ACM Symposium on Applied Computing
Volume02-February-1998

Other

Other1998 ACM Symposium on Applied Computing, SAC 1998
CountryUnited States
CityAtlanta
Period2/27/983/1/98

Keywords

  • Crossover
  • Evolutionary algorithms
  • Genetic algorithms
  • Optimization

ASJC Scopus subject areas

  • Software

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