skip to main content
10.1145/1569901.1570211acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
poster

Cooperative and decomposable approaches on royal road functions: overcoming the random mutation hill-climber

Authors Info & Claims
Published:08 July 2009Publication History

ABSTRACT

No abstract available.

References

  1. P. Collet, E. Lutton, M. Schoenauer, P. Collet, E. Lutton, F. Raynal, and M. Schoenauer. Polar ifs + parisian genetic programming = efficient ifs inverse problem solving. Genet. Programm. Evolvable Mach. J, 1:361, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. S. Forrest and M. Mitchell. Relative building-block fitness and he building-block hypothesis. In Foundations of Genetic Algorithms 2, pages 109--126. Morgan Kaufmann, 1993.Google ScholarGoogle Scholar
  3. M. Mitchell, S. Forrest, and J. H. Holland. The royal road for genetic algorithms: Fitness landscapes and ga performance. In Proceedings of the First European Conference on Artificial Life, pages 245--254. MIT Press, 1992.Google ScholarGoogle Scholar
  4. G. Ochoa, E. Lutton, and E. K. Burke. The cooperative royal road: Avoiding hitchhiking. In Artificial Evolution, pages 184--195, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. G. Reis, N. Fonseca, F. F. de Vega, and A. Ferreira. Hybrid genetic algorithm based on gene fragment competition for polyphonic music transcription. In EvoWorkshops, volume 4974 of Lecture Notes in Computer Science, pages 305--314. Springer, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Cooperative and decomposable approaches on royal road functions: overcoming the random mutation hill-climber

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation
      July 2009
      2036 pages
      ISBN:9781605583259
      DOI:10.1145/1569901

      Copyright © 2009 Copyright is held by the author/owner(s)

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 8 July 2009

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      Overall Acceptance Rate1,669of4,410submissions,38%

      Upcoming Conference

      GECCO '24
      Genetic and Evolutionary Computation Conference
      July 14 - 18, 2024
      Melbourne , VIC , Australia

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader