Evolving Coupled Map Lattices for Computation

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Andersson:1998:ecmlc,

• author = "Claes Andersson and Mats G. Nordahl",
• title = "Evolving Coupled Map Lattices for Computation",
• booktitle = "Proceedings of the First European Workshop on Genetic Programming",
• 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

Citations