Co-evolution of Nearest Neighbor Classifiers

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@Article{Gagne:2007:ijPRAI,
  author =       "Christian Gagn\'e and Marc Parizeau",
  title =        "Co-evolution of Nearest Neighbor Classifiers",
  journal =      "International Journal of Pattern Recognition and
                 Artificial Intelligence",
  year =         "2007",
  volume =       "21",
  number =       "5",
  pages =        "921--946",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0218-0014",
  URL =          "http://vision.gel.ulaval.ca/en/publications/Id_692/PublDetails.php",
  doi =          "doi:10.1142/S0218001407005752",
  abstract =     "This paper presents experiments of Nearest Neighbour
                 (NN) classifier design using different evolutionary
                 computation methods. Through multi-objective and
                 co-evolution techniques, it combines genetic algorithms
                 and genetic programming to both select NN prototypes
                 and design a neighbourhood proximity measure, in order
                 to produce a more efficient and robust classifier. The
                 proposed approach is compared with the standard NN
                 classifier, with and without the use of classic
                 prototype selection methods, and classic data
                 normalisation. Results on both synthetic and real data
                 sets show that the proposed methodology performs as
                 well or better than other methods on all tested data
                 sets.",
}

Genetic Programming entries for Christian Gagne Marc Parizeau