Elitism reduces bloat in genetic programming

Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi

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

    12 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
    Pages1343-1344
    Number of pages2
    StatePublished - Dec 15 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
    CountryUnited States
    CityAtlanta, GA
    Period7/12/087/16/08

    Keywords

    • Bloat
    • Elitism
    • Genetic programming

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