Context-Based Repeated Sequences in Linear Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{eurogp:WilsonH05,
  author =       "Garnett Carl Wilson and Malcolm I. Heywood",
  editor =       "Maarten Keijzer and Andrea Tettamanzi and 
                 Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
  title =        "Context-Based Repeated Sequences in Linear Genetic
                 Programming",
  booktitle =    "Proceedings of the 8th European Conference on Genetic
                 Programming",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3447",
  year =         "2005",
  address =      "Lausanne, Switzerland",
  month =        "30 " # mar # " - 1 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-25436-6",
  pages =        "240--249",
  URL =          "http://flame.cs.dal.ca/~gwilson/docs/papers/EuroGP_2005.pdf",
  DOI =          "doi:10.1007/b107383",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "Repeating code sequences are found in both artificial
                 and natural genomes as an emergent phenomenon. These
                 patterns are of interest in researching both how
                 evolution reuses code segments to create superior
                 individuals and whether building blocks are used in the
                 formation of repeated sequences. In this paper we
                 describe a GP representation using a special type of
                 crossover that is more conducive to the formation of
                 repeated sequences than traditional GP. We then
                 establish that the repeated sequence phenomenon in the
                 implementation displays traits of building blocks by
                 establishing associated regularity of genotype and
                 phenotype elements. As additional merits, the
                 pattern-rich implementation boasts succinct solutions
                 with less bloat and accomplishes the code regularity
                 without a loss in performance with respect to
                 fitness.",
  notes =        "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
                 conjunction with EvoCOP2005 and EvoWorkshops2005",
}

Genetic Programming entries for Garnett Carl Wilson Malcolm Heywood

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