A New Technique for Dynamic Size Populations in Genetic Programming

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

  title =        "A New Technique for Dynamic Size Populations in
                 Genetic Programming",
  author =       "Marco Tomassini and Leonardo Vanneschi and 
                 Jerome Cuendet and Francisco Fernandez",
  pages =        "486--493",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Theory of
                 evolutionary algorithms, Multiobjective evolutionary
  DOI =          "doi:10.1109/CEC.2004.1330896",
  abstract =     "New techniques for dynamically changing the size of
                 populations during the execution of genetic programming
                 systems are proposed. Two models are presented,
                 allowing to add and suppress individuals on the basis
                 of some particular events occurring during the
                 evolution. These models allow to find solutions of
                 better quality, to save considerable amounts of
                 computational effort and to find optimal solutions more
                 quickly, at least for the set of problems studied here,
                 namely the artificial ant on the Santa Fe trail, the
                 even parity 5 problem and one instance of the symbolic
                 regression problem. Furthermore, these models have a
                 positive effect on the well known problem of bloat and
                 act without introducing additional computational
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",

Genetic Programming entries for Marco Tomassini Leonardo Vanneschi Jerome Cuendet Francisco Fernandez de Vega