A Study of Diversity in Multipopulation Genetic Programming

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

  author =       "Marco Tomassini and Leonardo Vanneschi and 
                 Francisco Fernandez and German Galeano",
  title =        "A Study of Diversity in Multipopulation Genetic
  booktitle =    "Evolution Artificielle, 6th International Conference",
  year =         "2003",
  editor =       "Pierre Liardet and Pierre Collet and Cyril Fonlupt and 
                 Evelyne Lutton and Marc Schoenauer",
  volume =       "2936",
  series =       "Lecture Notes in Computer Science",
  pages =        "243--255",
  address =      "Marseilles, France",
  month =        "27-30 " # oct,
  publisher =    "Springer",
  note =         "Revised Selected Papers",
  keywords =     "genetic algorithms, genetic programming, Artificial
  ISBN =         "3-540-21523-9",
  URL =          "http://personal.disco.unimib.it/Vanneschi/EA_2003_Diversity.pdf",
  DOI =          "doi:10.1007/b96080",
  size =         "13 pages",
  abstract =     "using multiple communicating populations instead of a
                 single panmictic one may help in maintaining diversity
                 during GP runs. After defining suitable genotypic and
                 phenotypic diversity measures, we apply them to three
                 standard test problems. The experimental results
                 indicate that using multiple populations helps in
                 maintaining phenotypic diversity. We hypothesise that
                 this could be one of the reasons for the better
                 performance observed for distributed GP with respect to
                 panmictic GP. Finally, we trace a sort of history of
                 the optimum individual for a set of distributed GP
                 runs, trying to understand the dynamics that help in
                 maintaining diversity in distributed GP.",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  notes =        "EA'03",

Genetic Programming entries for Marco Tomassini Leonardo Vanneschi Francisco Fernandez de Vega German Galeano