Elitism reduces bloat in genetic programming

Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi

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

18 Scopus citations

Abstract

Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements to new generations. Using two GP systems and four problems, we show how elitism reduces the growth of mean program size.

Original languageEnglish (US)
Title of host publicationGECCO'08
Subtitle of host publicationProceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008
PublisherAssociation for Computing Machinery (ACM)
Pages1343-1344
Number of pages2
ISBN (Print)9781605581309
DOIs
StatePublished - 2008
Event10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 - Atlanta, GA, United States
Duration: Jul 12 2008Jul 16 2008

Publication series

NameGECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

Other

Other10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008
Country/TerritoryUnited States
CityAtlanta, GA
Period7/12/087/16/08

Keywords

  • Bloat
  • Elitism
  • Genetic programming

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