Homology gives size control in genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Michael {Defoin Platel} and Manuel Clergue and 
                 Philippe Collard",
  title =        "Homology gives size control in genetic programming",
  booktitle =    "Proceedings of the 2003 Congress on Evolutionary
                 Computation CEC2003",
  editor =       "Ruhul Sarker and Robert Reynolds and 
                 Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and 
                 Tom Gedeon",
  pages =        "281--288",
  year =         "2003",
  publisher =    "IEEE Press",
  address =      "Canberra",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "8-12 " # dec,
  organisation = "IEEE Neural Network Council (NNC), Engineers Australia
                 (IEAust), Evolutionary Programming Society (EPS),
                 Institution of Electrical Engineers (IEE)",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 computation, Genetic mutations, Protection, Size
                 control, Space exploration, Testing, parity, pattern
                 recognition, search problems, accurate control, bloat
                 reduction, even-N parity problem, homologous crossover,
                 search space exploration, size control",
  ISBN =         "0-7803-7804-0",
  URL =          "http://www.i3s.unice.fr/~defoin/publications/cec_03.pdf",
  DOI =          "doi:10.1109/CEC.2003.1299586",
  size =         "8 pages",
  abstract =     "The Maximum Homologous Crossover attempts to preserve
                 similar structures from parents by aligning them
                 according to their homology. In this paper, it is
                 successfully tested on the classical Even-N Parity
                 Problem where it demonstrates interesting abilities in
                 bloat reduction. Then, we show that this operator gives
                 an accurate control of the size of programs during the
                 evolution and thus, allows the development of new
                 strategies for the search space exploration.",
  notes =        "CEC 2003 - A joint meeting of the IEEE, the IEAust,
                 the EPS, and the IEE.",

Genetic Programming entries for Michael Defoin Platel Manuel Clergue Philippe Collard