Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Niehaus:2007:EC,
  author =       "Jens Niehaus and Christian Igel and Wolfgang Banzhaf",
  title =        "Reducing the Number of Fitness Evaluations in Graph
                 Genetic Programming Using a Canonical Graph Indexed
                 Database",
  journal =      "Evolutionary Computation",
  year =         "2007",
  volume =       "15",
  number =       "2",
  pages =        "199--221",
  month =        "Summer",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1063-6560",
  URL =          "http://www.mitpressjournals.org/doi/pdfplus/10.1162/evco.2007.15.2.199",
  DOI =          "doi:10.1162/evco.2007.15.2.199",
  size =         "23 pages",
  abstract =     "In this paper we describe the genetic programming
                 system GGP operating on graphs and introduce the notion
                 of graph isomorphisms to explain how they influence the
                 dynamics of GP. It is shown empirically how fitness
                 databases can improve the performance of GP and how
                 mapping graphs to a canonical form can increase these
                 improvements by saving considerable evaluation time.",
}

Genetic Programming entries for Jens Niehaus Christian Igel Wolfgang Banzhaf

Citations