How functional dependency adapts to salience hierarchy in the GAuGE system

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Miguel Nicolau and Conor Ryan",
  title =        "How functional dependency adapts to salience hierarchy
                 in the {GAuGE} system",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2003",
  year =         "2003",
  editor =       "Conor Ryan and Terence Soule and Maarten Keijzer and 
                 Edward Tsang and Riccardo Poli and Ernesto Costa",
  volume =       "2610",
  series =       "LNCS",
  pages =        "153--163",
  address =      "Essex",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, grammatical
  ISBN =         "3-540-00971-X",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/3-540-36599-0_14",
  abstract =     "GAuGE is a position independent genetic algorithm that
                 suffers from neither under nor over-specification, and
                 uses a genotype to phenotype mapping process. By
                 specifying both the position and the value of each
                 gene, it has the potential to group important data
                 together in the genotype string, to prevent it from
                 being broken up and disrupted during the evolution
                 process. To test this ability, GAuGE was applied to a
                 set of problems with exponentially scaled salience. The
                 results obtained demonstrate that GAuGE is indeed
                 moving the more salient genes to the start of the
                 genotype strings, creating robust individuals that are
                 built in a progressive fashion from the left to the
                 right side of the genotype.",
  notes =        "EuroGP'2003 held in conjunction with EvoWorkshops

Genetic Programming entries for Miguel Nicolau Conor Ryan