Phenotypic Diversity in Initial Genetic Programming Populations

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "David Jackson",
  title =        "Phenotypic Diversity in Initial Genetic Programming
  booktitle =    "Proceedings of the 13th European Conference on Genetic
                 Programming, EuroGP 2010",
  year =         "2010",
  editor =       "Anna Isabel Esparcia-Alcazar and Aniko Ekart and 
                 Sara Silva and Stephen Dignum and A. Sima Uyar",
  volume =       "6021",
  series =       "LNCS",
  pages =        "98--109",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-12147-0",
  DOI =          "doi:10.1007/978-3-642-12148-7_9",
  abstract =     "A key factor in the success or otherwise of a genetic
                 programming population in evolving towards a solution
                 is the extent of diversity amongst its members.
                 Diversity may be viewed in genotypic (structural) or in
                 phenotypic (behavioural) terms, but the latter has
                 received less attention. We propose a method for
                 measuring phenotypic diversity in terms of the run-time
                 behaviour of programs. We describe how this is
                 applicable to a range of problem domains and show how
                 the promotion of such diversity in initial genetic
                 programming populations can have a substantial impact
                 on solution-finding performance.",
  notes =        "Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010
                 held in conjunction with EvoCOP2010 EvoBIO2010 and

Genetic Programming entries for David Jackson