pi Grammatical Evolution

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

@InProceedings{oneill:2004:piGE,
  author =       "Michael O'Neill and Anthony Brabazon and 
                 Miguel Nicolau and Sean Mc Garraghy and Peter Keenan",
  title =        "pi Grammatical Evolution",
  booktitle =    "Genetic and Evolutionary Computation -- GECCO-2004,
                 Part II",
  year =         "2004",
  editor =       "Kalyanmoy Deb and Riccardo Poli and 
                 Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and 
                 Paul Darwen and Dipankar Dasgupta and Dario Floreano and 
                 James Foster and Mark Harman and Owen Holland and 
                 Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and 
                 Dirk Thierens and Andy Tyrrell",
  series =       "Lecture Notes in Computer Science",
  pages =        "617--629",
  address =      "Seattle, WA, USA",
  publisher_address = "Heidelberg",
  month =        "26-30 " # jun,
  organisation = "ISGEC",
  publisher =    "Springer-Verlag",
  volume =       "3103",
  ISBN =         "3-540-22343-6",
  ISSN =         "0302-9743",
  DOI =          "doi:10.1007/b98645",
  size =         "13",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  abstract =     "pi Grammatical Evolution is presented and its
                 performance on four benchmark problems is reported. pi
                 Grammatical Evolution is a position-independent
                 variation on Grammatical Evolution's genotype-phenotype
                 mapping process where the order of the derivation
                 sequence steps are no longer applied to non-terminals
                 in a predefined fashion from left to right on the
                 developing program. Instead the genome is used to
                 specify which nonterminal will be developed next, in
                 addition to specifying the rule that will be applied to
                 that nonterminal. Results suggest that the adoption of
                 a more flexible mapping process where the order of
                 nonterminal expansion is not determined a-priori, but
                 instead itself evolved, is beneficial for Grammatical
                 Evolution.",
  notes =        "GECCO-2004 A joint meeting of the thirteenth
                 international conference on genetic algorithms
                 (ICGA-2004) and the ninth annual genetic programming
                 conference (GP-2004) also known as
                 \cite{ONeill:PI:gecco2004}",
}

Genetic Programming entries for Michael O'Neill Anthony Brabazon Miguel Nicolau Sean McGarraghy Peter Keenan

Citations