Evaluation of chess position by modular neural network generated by genetic algorithm
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{autones:2004:eurogp,
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author = "Mathieu Autones and Aryel Beck and
Phillippe Camacho and Nicolas Lassabe and Herve Luga and
Franccois Scharffe",
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title = "Evaluation of chess position by modular neural network
generated by genetic algorithm",
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booktitle = "Genetic Programming 7th European Conference, EuroGP
2004, Proceedings",
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year = "2004",
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editor = "Maarten Keijzer and Una-May O'Reilly and
Simon M. Lucas and Ernesto Costa and Terence Soule",
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volume = "3003",
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series = "LNCS",
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pages = "1--10",
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address = "Coimbra, Portugal",
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publisher_address = "Berlin",
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month = "5-7 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-21346-5",
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DOI = "doi:10.1007/978-3-540-24650-3_1",
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abstract = "Chess engine Tempo. One of the major difficulties for
this type of program lies in the function for
evaluating game positions. This function is composed of
a large number of parameters which have to be
determined and then adjusted. We propose an alternative
which consists in replacing this function by an
artificial neuron network (ANN). Without topological
knowledge of this complex network, we use the
evolutionist methods for its inception, thus enabling
us to obtain, among other things, a modular network.
Finally, we present our results: (i) reproduction of
the XOR function which validates the method used and
(ii) generation of an evaluation function",
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notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
conjunction with EvoCOP2004 and EvoWorkshops2004",
- }
Genetic Programming entries for
Mathieu Autones
Aryel Beck
Phillippe Camacho
Nicolas Lassabe
Herve Luga
Franccois Scharffe
Citations