• DocumentCode
    468431
  • Title

    Assessing Hierarchical Cooperative CoEvolution

  • Author

    Maniadakis, Michail ; Trahanias, Panos

  • Author_Institution
    Inst. of Comput. Sci., Heraklion
  • Volume
    1
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    391
  • Lastpage
    398
  • Abstract
    Recently, many research efforts are directed towards co-evolutionary algorithms. The present work aims at the assessment of Hierarchical Cooperative CoEvolution (HCCE) being properly formulated to address hierarchical problems where simple components having separate design objectives, are parts of other more complex ones. HCCE is able to highlight the specialties of each component and additionally enforce their successful integration in a composite structure. Here we present HCCE describing also the internal dynamics that provide its effectiveness in addressing difficult distributed design problems. Additionally, the results described in the present work attest to its validity and superior performance against ordinary Unimodal evolution, and Enforced SubPopulation coevolution.
  • Keywords
    evolutionary computation; coevolutionary algorithm; distributed design problem; enforced subpopulation coevolution; hierarchical cooperative coevolution; ordinary unimodal evolution; Artificial intelligence; Assembly systems; Cognitive robotics; Computer science; Encoding; Genetics; Interconnected systems; Mechanical systems; Performance evaluation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
  • Conference_Location
    Patras
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3015-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2007.174
  • Filename
    4410311