Evaluating GP schema in context

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

@InProceedings{1068304,
  author =       "Hammad Majeed and Conor Ryan and 
                 R. Muhammad Atif Azad",
  title =        "Evaluating GP schema in context",
  booktitle =    "{GECCO 2005}: Proceedings of the 2005 conference on
                 Genetic and evolutionary computation",
  year =         "2005",
  editor =       "Hans-Georg Beyer and Una-May O'Reilly and 
                 Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and 
                 Eric W. Bonabeau and Erick Cantu-Paz and 
                 Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and 
                 Edwin D. {de Jong} and Hod Lipson and Xavier Llora and 
                 Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and 
                 Terence Soule and Andy M. Tyrrell and 
                 Jean-Paul Watson and Eckart Zitzler",
  volume =       "2",
  ISBN =         "1-59593-010-8",
  pages =        "1773--1774",
  address =      "Washington DC, USA",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1773.pdf",
  DOI =          "doi:10.1145/1068009.1068304",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, 10286-1405, USA",
  month =        "25-29 " # jun,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, Poster,
                 module acquisition, schema theory, tree semantics",
  size =         "2 pages",
  abstract =     "We propose a methodology to look at the fitness
                 contributions (semantics) of different schemata in
                 Genetic Programming (GP). We hypothesise that the
                 significance of a schema can be evaluated by
                 calculating its fitness contribution to the total
                 fitness of the trees that contain it, and use our
                 methodology to test this hypothesis. It is shown that
                 this method can also be used to identify schemata that
                 are important in terms of both individual runs and
                 individual problems (that is, schema that will be
                 important across many runs on a particular problem).
                 The usefulness of this study to existing schema
                 theories and its effective use in the detection of
                 introns, in the identification of potentially useful
                 modular functions are also discussed.",
  notes =        "GECCO-2005 A joint meeting of the fourteenth
                 international conference on genetic algorithms
                 (ICGA-2005) and the tenth annual genetic programming
                 conference (GP-2005).

                 ACM Order Number 910052

                 See also \cite{majeed:gecco05ws}. Quartic
                 polynomial.

                 ",
}

Genetic Programming entries for Hammad Majeed Conor Ryan R Muhammad Atif Azad

Citations