Cooperative Co-evolution Inspired Operators for Classical GP Schemes

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Malek Aichour and Evelyne Lutton",
  title =        "Cooperative Co-evolution Inspired Operators for
                 Classical GP Schemes",
  booktitle =    "Proceedings of International Workshop on Nature
                 Inspired Cooperative Strategies for Optimization (NICSO
  year =         "2007",
  pages =        "169--178",
  editor =       "Natalio Krasnogor and Giuseppe Nicosia and 
                 Mario Pavone and David Pelta",
  volume =       "129",
  series =       "Studies in Computational Intelligence",
  address =      "Acireale, Italy",
  month =        "8-10 " # nov,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-78986-4",
  DOI =          "doi:10.1007/978-3-540-78987-1_16",
  abstract =     "This work is a first step toward the design of a
                 cooperative-coevolution GP for symbolic regression,
                 which first output is a selective mutation operator for
                 classical GP. Cooperative co-evolution techniques rely
                 on the imitation of cooperative capabilities of natural
                 populations and have been successfully applied in
                 various domains to solve very complex optimisation
                 problems. It has been proved on several applications
                 that the use of two fitness measures (local and global)
                 within an evolving population allow to design more
                 efficient optimization schemes. We currently
                 investigate the use of a two-level fitness measurement
                 for the design of operators, and present in this paper
                 a selective mutation operator. Experimental analysis on
                 a symbolic regression problem give evidence of the
                 efficiency of this operator in comparison to classical
                 subtree mutation",
  notes =        "

Genetic Programming entries for Malek Aichour Evelyne Lutton