Genetic Code Degeneracy: Implications for Grammatical Evolution and Beyond

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{oneill:1999:ECAL,
  author =       "M. O'Neill and C. Ryan",
  title =        "Genetic Code Degeneracy: Implications for Grammatical
                 Evolution and Beyond",
  booktitle =    "Advances in Artificial Life",
  year =         "1999",
  editor =       "D. Floreano and J.-D. Nicoud and F. Mondada",
  volume =       "1674",
  series =       "LNAI",
  pages =        "149--153",
  language =     "English",
  address =      "Lausanne",
  month =        "13-17 " # sep,
  publisher =    "Springer Verlag",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  ISBN =         "3-540-66452-1",
  URL =          "http://ncra.ucd.ie/papers/ecal99.ps.gz",
  URL =          "http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-66452-1",
  DOI =          "doi:10.1007/3-540-48304-7_21",
  size =         "5 pages",
  abstract =     "Grammatical Evolution (GE) is a grammar-based GA which
                 generates computer programs. GE has the distinction
                 that its input is a BNF, which permits it to generate
                 programs in any language, of arbitrary complexity. Part
                 of the power of GE is that it is closer to natural DNA
                 than other Evolutionary Algorithms, and thus can
                 benefit from natural phenomena such as a separation of
                 search and solution spaces through a genotype to
                 phenotype mapping, and a genetic code degeneracy which
                 can give rise to silent mutations that have no effect
                 on the phenotype. It has previously been shown how runs
                 of GE are competitive with GP, and in this paper we
                 analyse the feature of genetic code degeneracy, and its
                 implications for genotypic diversity. Results show that
                 genetic diversity is improved as a result of degeneracy
                 in the genetic code for the problem domains addressed
                 here.",
  notes =        "ECAL-99",
}

Genetic Programming entries for Michael O'Neill Conor Ryan

Citations