Fuzzy dynamical genetic programming in XCSF

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{Preen:2011:GECCOcomp,
  author =       "Richard J. Preen and Larry Bull",
  title =        "Fuzzy dynamical genetic programming in {XCSF}",
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 companion on Genetic and evolutionary computation",
  year =         "2011",
  editor =       "Natalio Krasnogor and Pier Luca Lanzi and 
                 Andries Engelbrecht and David Pelta and Carlos Gershenson and 
                 Giovanni Squillero and Alex Freitas and 
                 Marylyn Ritchie and Mike Preuss and Christian Gagne and 
                 Yew Soon Ong and Guenther Raidl and Marcus Gallager and 
                 Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and 
                 Nikolaus Hansen and Silja Meyer-Nieberg and 
                 Jim Smith and Gus Eiben and Ester Bernado-Mansilla and 
                 Will Browne and Lee Spector and Tina Yu and Jeff Clune and 
                 Greg Hornby and Man-Leung Wong and Pierre Collet and 
                 Steve Gustafson and Jean-Paul Watson and 
                 Moshe Sipper and Simon Poulding and Gabriela Ochoa and 
                 Marc Schoenauer and Carsten Witt and Anne Auger",
  isbn13 =       "978-1-4503-0690-4",
  keywords =     "genetic algorithms, genetic programming, Genetics
                 based machine learning: Poster",
  pages =        "167--168",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  doi =          "doi:10.1145/2001858.2001952",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "A number of representation schemes have been presented
                 for use within Learning Classifier Systems, ranging
                 from binary encodings to Neural Networks, and more
                 recently Dynamical Genetic Programming (DGP). This
                 paper presents results from an investigation into using
                 a fuzzy DGP representation within the XCSF Learning
                 Classifier System. In particular, asynchronous Fuzzy
                 Logic Networks are used to represent the traditional
                 condition-action production system rules. It is shown
                 possible to use self-adaptive, open-ended evolution to
                 design an ensemble of such fuzzy dynamical systems
                 within XCSF to solve several well-known
                 continuous-valued test problems.",
  notes =        "Also known as \cite{2001952} Distributed on CD-ROM at
                 GECCO-2011.

                 ACM Order Number 910112.",
}

Genetic Programming entries for Richard Preen Larry Bull