How to Choose Appropriate Function Sets for GP

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

@InProceedings{gang:2004:eurogp,
  author =       "Wang Gang and Terence Soule",
  title =        "How to Choose Appropriate Function Sets for GP",
  booktitle =    "Genetic Programming 7th European Conference, EuroGP
                 2004, Proceedings",
  year =         "2004",
  editor =       "Maarten Keijzer and Una-May O'Reilly and 
                 Simon M. Lucas and Ernesto Costa and Terence Soule",
  volume =       "3003",
  series =       "LNCS",
  pages =        "198--207",
  address =      "Coimbra, Portugal",
  publisher_address = "Berlin",
  month =        "5-7 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-21346-5",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3003&spage=198",
  DOI =          "doi:10.1007/978-3-540-24650-3_18",
  abstract =     "The choice of functions in a genetic program can have
                 a significant effect on the GP's performance, but there
                 have been no systematic studies of how to select
                 functions to optimise performance. We investigate how
                 to choose appropriate function sets for general genetic
                 programming problems. For each problem multiple
                 functions sets are tested. The results show that
                 functions can be classified into function groups of
                 equivalent functions. The most appropriate function set
                 for a problem is one that is optimally diverse; a set
                 that includes one function from each function group.",
  notes =        "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
                 conjunction with EvoCOP2004 and EvoWorkshops2004",
}

Genetic Programming entries for Wang Gang Terence Soule

Citations