Combining GP operators with SA search to evolve fuzzy rule based classifiers

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

  author =       "Luciano Sanchez and Ines Couso and J. A. Corrales",
  title =        "Combining GP operators with SA search to evolve fuzzy
                 rule based classifiers",
  journal =      "Information Sciences",
  volume =       "136",
  pages =        "175--191",
  year =         "2001",
  number =       "1-4",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming, Fuzzy
                 classification, Simulated annealing",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/S0020-0255(01)00146-3",
  URL =          "",
  size =         "19 pages",
  abstract =     "The genotype-phenotype encoding of fuzzy rule bases in
                 GA, along with their corresponding crossover and
                 mutation operators, can be used by other search
                 schemes, improving the behavior of these last ones. As
                 a practical consequence of this, a simulated
                 annealing-based method for inducting both parameters
                 and structure of a fuzzy classifier has been developed.
                 The adjacency operator in SA has been replaced with a
                 macromutation taken from tree-shaped genotype GAs. We
                 will show that results of SA search are similar to
                 those of GP in both the efficiency of the learned
                 classifiers and in its linguistic interpretability,
                 while the memory consumption of the learning process is

Genetic Programming entries for Luciano Sanchez Ines Couso J A Corrales