Coevolving Antibodies with a Rich Representation of Grammatical Evolution

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@InProceedings{amarteifio:2005:CEC,
  author =       "Saoirse Amarteifio and Michael O'Neill",
  title =        "Coevolving Antibodies with a Rich Representation of
                 Grammatical Evolution",
  booktitle =    "Proceedings of the 2005 IEEE Congress on Evolutionary
                 Computation",
  year =         "2005",
  editor =       "David Corne and Zbigniew Michalewicz and 
                 Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and 
                 Garrison Greenwood and Tan Kay Chen and 
                 Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and 
                 Jennifier Willies and Juan J. Merelo Guervos and 
                 Eugene Eberbach and Bob McKay and Alastair Channon and 
                 Ashutosh Tiwari and L. Gwenn Volkert and 
                 Dan Ashlock and Marc Schoenauer",
  volume =       "1",
  pages =        "904--911",
  address =      "Edinburgh, UK",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "2-5 " # sep,
  organisation = "IEEE Computational Intelligence Society, Institution
                 of Electrical Engineers (IEE), Evolutionary Programming
                 Society (EPS)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  ISBN =         "0-7803-9363-5",
  DOI =          "doi:10.1109/CEC.2005.1554779",
  abstract =     "A number of natural anticipatory systems employ dual
                 processes of feature definition and feature
                 exploitation. Presented here, a coevolutionary dual
                 process model based on the immune system, considers the
                 effect of coevolving complementary templates to bias
                 feature selection and recombination. This work
                 considers the issue of module exploitation in
                 evolutionary algorithms. Our approach is characterised
                 by the use of rich representations in grammatical
                 evolution.",
  notes =        "CEC2005 - A joint meeting of the IEEE, the IEE, and
                 the EPS.",
}

Genetic Programming entries for Saoirse Amarteifio Michael O'Neill

Citations