• DocumentCode
    2918483
  • Title

    Subtree deactivation control with grammatical Genetic Programming in dynamic environments

  • Author

    O´Neill, Maire ; Brabazon, Anthony ; Hemberg, Erick

  • Author_Institution
    Natural Comput. Res.&Applic. Group, Univ. Coll. Dublin, Dublin
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    3768
  • Lastpage
    3774
  • Abstract
    We investigate the usefulness of a subtree deactivation control mechanism which is open to evolutionary learning. It is hypothesised that this representation confers an adaptive advantage in dynamic environments over the standard sub-tree representation adopted in Genetic Programming. Results presented on benchmark dynamic problem instances provides evidence to support that such an adaptive advantage exists.
  • Keywords
    evolutionary computation; genetic algorithms; grammars; trees (mathematics); dynamic environments; evolutionary learning; grammatical genetic programming; subtree deactivation control; subtree representation; Dynamic programming; Evolutionary computation; Genetic programming; Hydrogen;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4631308
  • Filename
    4631308
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2918483