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Uniform Crossover Revisited: Maximum Disruption in Real-Coded GAs

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Genetic and Evolutionary Computation — GECCO 2003 (GECCO 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2724))

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Abstract

A detailed comparison is presented of five well-known crossover operators on a range of continuous optimization tasks to test longheld beliefs concerning disruption, with respect to real-coded GAs. It is suggested that, contrary to traditional assumptions, disruption is useful.

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References

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Author information

Authors and Affiliations

  1. COGS, University of Sussex, Falmer, Brighton, BN1 9QH, UK

    Stephen Drake

Authors
  1. Stephen Drake
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Editor information

Editors and Affiliations

  1. Center for Applied Scientific Computing (CASC), Lawrence Livermore National Laboratory, 7000 East Avenue, L-561, Livermore, CA, 94550, USA

    Erick Cantú-Paz

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© 2003 Springer-Verlag Berlin Heidelberg

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Drake, S. (2003). Uniform Crossover Revisited: Maximum Disruption in Real-Coded GAs. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45110-2_32

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  • DOI: https://doi.org/10.1007/3-540-45110-2_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40603-7

  • Online ISBN: 978-3-540-45110-5

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