Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{brameier:2002:EuroGP,
  title =        "Explicit Control of Diversity and Effective Variation
                 Distance in Linear Genetic Programming",
  author =       "Markus Brameier and Wolfgang Banzhaf",
  editor =       "James A. Foster and Evelyne Lutton and 
                 Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi",
  booktitle =    "Genetic Programming, Proceedings of the 5th European
                 Conference, EuroGP 2002",
  publisher =    "Springer-Verlag",
  volume =       "2278",
  series =       "LNCS",
  pages =        "37--49",
  address =      "Kinsale, Ireland",
  publisher_address = "Berlin",
  month =        "3-5 " # apr,
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-43378-3",
  URL =          "http://www.cs.mun.ca/~banzhaf/papers/eurogp02_dist.pdf",
  URL =          "http://link.springer-ny.com/link/service/series/0558/bibs/2278/22780037.htm",
  URL =          "http://link.springer-ny.com/link/service/series/0558/papers/2278/22780037.pdf",
  abstract =     "We have investigated structural distance metrics for
                 linear genetic programs. Causal connections between
                 changes of the genotype and changes of the phenotype
                 form a necessary condition for analyzing structural
                 differences between genetic programs and for the two
                 objectives of this paper: (i) The distance information
                 between individuals is used to control structural
                 diversity of population individuals actively by a
                 two-level tournament selection. (ii) Variation distance
                 of effective code is controlled for different genetic
                 operators - including a mutation operator that works
                 closely with the applied distance measure. Numerous
                 experiments have been performed for three benchmark
                 problems.",
  notes =        "EuroGP'2002, part of \cite{lutton:2002:GP} Best
                 paper

                 See also \cite{oai:CiteSeerPSU:552561}",
}

Genetic Programming entries for Markus Brameier Wolfgang Banzhaf