Subtree Deactivation Control with Grammatical Genetic Programming in Dynamic Environments

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@InProceedings{O'Neill2:2008:cec,
  author =       "Michael O'Neill and Anthony Brabazon and 
                 Erik Hemberg",
  title =        "Subtree Deactivation Control with Grammatical Genetic
                 Programming in Dynamic Environments",
  booktitle =    "2008 IEEE World Congress on Computational
                 Intelligence",
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "3768--3774",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0798.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631308",
  abstract =     "We investigate the usefulness of a sub-tree
                 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 subtree representation
                 adopted in Genetic Programming. Results presented on
                 benchmark dynamic problem instances provides evidence
                 to support that such an adaptive advantage exists.",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",
}

Genetic Programming entries for Michael O'Neill Anthony Brabazon Erik Hemberg

Citations