Evolving Coupled Map Lattices for Computation

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Claes Andersson and Mats G. Nordahl",
  title =        "Evolving Coupled Map Lattices for Computation",
  booktitle =    "Proceedings of the First European Workshop on Genetic
  year =         "1998",
  editor =       "Wolfgang Banzhaf and Riccardo Poli and 
                 Marc Schoenauer and Terence C. Fogarty",
  volume =       "1391",
  series =       "LNCS",
  pages =        "151--162",
  address =      "Paris",
  publisher_address = "Berlin",
  month =        "14-15 " # apr,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-64360-5",
  DOI =          "doi:10.1007/BFb0055935",
  abstract =     "Genetic Programming is used to evolve coupled map
                 lattices for density classification. The most
                 successful evolved rules depending only on nearest
                 neighbors (r=1) show better performance than existing
                 r=3 cellular automaton rules on this task.",
  notes =        "EuroGP'98",
  affiliation =  "Chalmers University of Technology Institute of
                 Theoretical Physics S-412 96 Goteborg Sweden S-412 96
                 Goteborg Sweden",

Genetic Programming entries for Claes Andersson Mats G Nordahl