Probabilistic (Genotype) Adaptive Mapping Combinations for Developmental Genetic Programming

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

@InProceedings{Wilson:P(A:cec2006,
  author =       "Garnett Carl Wilson and Malcolm Iain Heywood",
  title =        "Probabilistic (Genotype) Adaptive Mapping Combinations
                 for Developmental Genetic Programming",
  booktitle =    "Proceedings of the 2006 IEEE Congress on Evolutionary
                 Computation",
  year =         "2006",
  editor =       "Gary G. Yen and Simon M. Lucas and Gary Fogel and 
                 Graham Kendall and Ralf Salomon and 
                 Byoung-Tak Zhang and Carlos A. Coello Coello and 
                 Thomas Philip Runarsson",
  pages =        "2498--2505",
  address =      "Vancouver, BC, Canada",
  month =        "16-21 " # jul,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7803-9487-9",
  URL =          "http://ieeexplore.ieee.org/servlet/opac?punumber=11108",
  DOI =          "doi:10.1109/CEC.2006.1688619",
  abstract =     "In development genetic programming (DGP) approaches
                 where the search space is divided into genotypes and
                 phenotypes, a mapping (or genetic code) is needed to
                 connect the two spaces. This model has subsequently
                 been extended so that mappings evolve, and recently an
                 implementation was proposed that co-evolves a genotype
                 population and a population of adaptive mappings. Here,
                 the authors identify and investigate performance
                 obstacles for this recent implementation. They then
                 introduce a new probabilistic adaptive mapping DGP that
                 avoids those performance problems and explores a
                 greater search space of genotype-mapping combinations
                 without significant computational expense. The
                 algorithm is shown to be more robust and to outperform
                 the comparison adaptive mapping algorithm on
                 challenging settings of the chosen test benchmark.",
  notes =        "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 IEEE Catalog Number: 06TH8846D",
}

Genetic Programming entries for Garnett Carl Wilson Malcolm Heywood

Citations