Research Output

A comparison of dominance mechanisms and simple mutation on non-stationary problems.

  It is sometimes claimed that genetic algorithms using diploid representations will be more suitable for problems in which the environment changes from time to time, as the additional information stored in the double chromosome will ensure diversity, which in turn allows the system to respond more quickly and robustly to a change in the fitness function. We have tested various diploid algorithms, with and without mechanisms for dominance change, on non-stationary problems, and conclude that some form of dominance change is essential, as a diploid encoding is not enough in itself to allow flexible response to change. Moreover, a haploid method which randomly mutates chromosomes whose fitness has fallen sharply also performs well on these problems.

  • Type:

    Book Chapter

  • Date:

    30 November 1997

  • Publication Status:

    Published

  • Publisher

    Springer Berlin

  • DOI:

    10.1007/BFb0056857

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.3 Artificial intelligence

Citation

Lewis, J., Hart, E. & Ritchie, G. (1997). A comparison of dominance mechanisms and simple mutation on non-stationary problems. In Parallel Problem Solving from Nature-PPSN V, 139-148. Springer Berlin. doi:10.1007/BFb0056857. ISBN 978-3-540-65078-2

Authors

Keywords

genetic algorithms; diploid representations; fitness function; dominance change;

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