- 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.",
