Grammatical Evolution Rules: The mod and the Bucket Rule   [GE]

by

Keijzer, M., Foster, J., A., Lutton, E., Ryan, C., Miller, J., Cattolico, M. and Tettamanzi, A., G., B.

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Info: Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002 (Conference proceedings), 2002, p. 123-130
Keywords:genetic algorithms, genetic programming, gramatical evolution
Abstract:
We present an alternative mapping function called the Bucket Rule, for Grammatical Evolution, [GE] that improves upon the standard modulo rule. Grammatical Evolution [GE] is applied to a set of standard Genetic Algorithm problem [GA] domains using two alternative grammars. Applying GE to GA problems allows us to focus on a simple grammar whose effects are easily analysable.
Notes:
EuroGP'2002, part of lutton:2002:GP
Author(s) DL:Online papers for Keijzer, M.
Online papers for Lutton, E.
Online papers for Ryan, C.
Online papers for Tettamanzi, A., G., B.

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BibTex:
@InProceedings{keijzer:2002:EuroGP,
  title =        "Grammatical Evolution Rules: The mod and the Bucket
                 Rule",
  author =       "Maarten Keijzer and Michael O'Neill and Conor Ryan and
                 Mike Cattolico",
  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 =        "123--130",
  publisher =    "Springer-Verlag",
  address =      "Kinsale, Ireland",
  publisher_address = "Berlin",
  month =        "3-5 " # apr,
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming, gramatical
                 evolution",
  ISBN =         "3-540-43378-3",
  abstract =     "We present an alternative mapping function called the
                 Bucket Rule, for Grammatical Evolution, that improves
                 upon the standard modulo rule. Grammatical Evolution is
                 applied to a set of standard Genetic Algorithm problem
                 domains using two alternative grammars. Applying GE to
                 GA problems allows us to focus on a simple grammar
                 whose effects are easily analysable.",
  notes =        "EuroGP'2002, part of lutton:2002:GP",
}