Evolutionary Solo Pong Players

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{langdon:2005:CECa,
  author =       "William B. Langdon and Riccardo Poli",
  title =        "Evolutionary Solo Pong Players",
  booktitle =    "Proceedings of the 2005 IEEE Congress on Evolutionary
                 Computation",
  year =         "2005",
  editor =       "David Corne and Zbigniew Michalewicz and 
                 Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and 
                 Garrison Greenwood and Tan Kay Chen and 
                 Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and 
                 Jennifier Willies and Juan J. Merelo Guervos and 
                 Eugene Eberbach and Bob McKay and Alastair Channon and 
                 Ashutosh Tiwari and L. Gwenn Volkert and 
                 Dan Ashlock and Marc Schoenauer",
  volume =       "3",
  pages =        "2621--2628",
  address =      "Edinburgh, UK",
  month =        "2-5 " # sep,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, PSO",
  ISBN =         "0-7803-9363-5",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/pong_cec2005.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/pong_cec2005.ps.gz",
  DOI =          "doi:10.1109/CEC.2005.1555023",
  size =         "8 pages",
  abstract =     "An Internet Java Applet
                 http://www.cs.essex.ac.uk/staff/poli/SoloPong/

                 allows users anywhere to play the Solo Pong game. We
                 compare people's performance to a hand coded 'Optimal'
                 player and programs automatically produced by
                 computational intelligence. The computational
                 intelligence techniques are: genetic programming,
                 including a hybrid of GP and a human designed
                 algorithm, and a particle swarm optimiser. The
                 computational intelligence approaches are not fine
                 tuned. GP and PSO find good players. Evolutionary
                 computation (EC) is able to beat both human designed
                 code and human players.",
  notes =        "CEC2005 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",
}

Genetic Programming entries for William B Langdon Riccardo Poli

Citations