Dynamic Size Populations in Distributed Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Denis Rochat and Marco Tomassini and 
                 Leonardo Vanneschi",
  editor =       "Maarten Keijzer and Andrea Tettamanzi and 
                 Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
  title =        "Dynamic Size Populations in Distributed Genetic
  booktitle =    "Proceedings of the 8th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3447",
  year =         "2005",
  address =      "Lausanne, Switzerland",
  month =        "30 " # mar # " - 1 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-25436-6",
  pages =        "50--61",
  DOI =          "doi:10.1007/b107383",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "This paper proposes the association of two approaches
                 of GP which improve efficiency and reduce bloat. The
                 first approach is to use a multi-population version of
                 GP and the second one is to employ populations that can
                 change size dynamically and adaptively. The latter
                 approach consists in deleting or adding individuals in
                 the population as a function of the current fitness and
                 two other parameters. We test this approach on three
                 well-known problems in GP, artificial ant, even parity
                 5 and one instance of the symbolic regression. We find
                 that the combination of these two methods improves the
                 quality of the individuals in the populations while
                 keeping their size as small as possible and decreases
                 the amount of resources required.",
  notes =        "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
                 conjunction with EvoCOP2005 and EvoWorkshops2005",

Genetic Programming entries for Denis Rochat Marco Tomassini Leonardo Vanneschi