Discrete dynamical genetic programming in XCS

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

@InProceedings{DBLP:conf/gecco/PreenB09,
  author =       "Richard Preen and Larry Bull",
  title =        "Discrete dynamical genetic programming in {XCS}",
  booktitle =    "GECCO '09: Proceedings of the 11th Annual conference
                 on Genetic and evolutionary computation",
  year =         "2009",
  editor =       "Guenther Raidl and Franz Rothlauf and 
                 Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and 
                 Mauro Birattari and Clare Bates Congdon and 
                 Martin Middendorf and Christian Blum and Carlos Cotta and 
                 Peter Bosman and Joern Grahl and Joshua Knowles and 
                 David Corne and Hans-Georg Beyer and Ken Stanley and 
                 Julian F. Miller and Jano {van Hemert} and 
                 Tom Lenaerts and Marc Ebner and Jaume Bacardit and 
                 Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and 
                 Thomas Jansen and Riccardo Poli and Enrique Alba",
  pages =        "1299--1306",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  doi =          "doi:10.1145/1569901.1570075",
  abstract =     "A number of representation schemes have been presented
                 for use within Learning Classifier Systems, ranging
                 from binary encodings to neural networks. This paper
                 presents results from an investigation into using a
                 discrete dynamical system representation within the XCS
                 Learning Classifier System. In particular, asynchronous
                 random Boolean 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 discrete
                 dynamical systems within XCS to solve a number of
                 well-known test problems.",
  notes =        "GECCO-2009 A joint meeting of the eighteenth
                 international conference on genetic algorithms
                 (ICGA-2009) and the fourteenth annual genetic
                 programming conference (GP-2009).

                 ACM Order Number 910092.",
}

Genetic Programming entries for Richard Preen Larry Bull