Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{parent:2005:bnaic,
  author =       "Johan Parent and Ann Nowe and Anne Defaweux and 
                 Kris Steenhaut",
  title =        "Compressed Linear Genetic Programming: empirical
                 parameter study on the Even-n-parity problem",
  booktitle =    "Proceedings of the Seventeenth Belgium/Netherlands
                 Conference on Artificial Intelligence (BNAIC 2005)",
  year =         "2005",
  editor =       "Katja Verbeeck and Karl Tuyls and Ann Nowe and 
                 Bernard Manderick and Bart Kuijpers",
  pages =        "373--374",
  address =      "Koninklijke Vlaamse Academie van Belgie voor
                 Wetenschappen en Kunsten, Brussel, Belgium",
  month =        "17-18 " # oct,
  organisation = "BNVKI, Dutch and the Belgian AI Association",
  publisher =    "Royal Flemish Academy of Belgium for Science and Arts,
                 KVAB",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://parallel.vub.ac.be/~johan/Papers/bnaic05_abstract_final.pdf",
  size =         "2 pages",
  abstract =     "Modularisation is of interest to the EA community as a
                 mechanism to allow evolution to address larger
                 problems. Starting from basic elements modularisation
                 could make it possible to reuse higher level
                 functionalities discovered during the evolutionary
                 search process. This...",
  notes =        "2 page summary

                 Described in BNVKI newsletter 22(6) p139.",
}

Genetic Programming entries for Johan Parent Ann Nowe Anne Defaweux Kris Steenhaut

Citations