No Coercion and No Prohibition, A Position Independent Encoding Scheme for Evolutionary Algorithms---The Chorus System

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

@InProceedings{ryan:2002:EuroGP,
  title =        "No Coercion and No Prohibition, A Position Independent
                 Encoding Scheme for Evolutionary Algorithms---The
                 {Chorus} System",
  author =       "Conor Ryan and Atif Azad and Alan Sheahan and 
                 Michael O'Neill",
  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",
  volume =       "2278",
  series =       "LNCS",
  pages =        "131--141",
  publisher =    "Springer-Verlag",
  address =      "Kinsale, Ireland",
  publisher_address = "Berlin",
  month =        "3-5 " # apr,
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-43378-3",
  DOI =          "doi:10.1007/3-540-45984-7_13",
  abstract =     "We describe a new encoding system, Chorus, for grammar
                 based Evolutionary Algorithms. This scheme is coarsely
                 based on the manner in nature in which genes produce
                 proteins that regulate the metabolic pathways of the
                 cell. The phenotype is the behaviour of the cells
                 metabolism, which corresponds to the development of the
                 computer program in our case. In this procedure, the
                 actual protein encoded by a gene is the same regardless
                 of the position of the gene within the genome.

                 We show that the Chorus system has a very convenient
                 Regular Expression - type schema notation that can be
                 used to describe the presence of various phenotypes or
                 phenotypic traits. This schema notation is used to
                 demonstrate that massive areas of neutrality can exist
                 in the search landscape, and the system is also shown
                 to be able to dispense with large areas of the search
                 space that are unlikely to contain useful solutions.",
  notes =        "EuroGP'2002, part of \cite{lutton:2002:GP}",
}

Genetic Programming entries for Conor Ryan R Muhammad Atif Azad Alan Sheahan Michael O'Neill

Citations