Evaluation of chess position by modular neural network generated by genetic algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{autones:2004:eurogp,

• author = "Mathieu Autones and Aryel Beck and Phillippe Camacho and Nicolas Lassabe and Herve Luga and Franccois Scharffe",
• title = "Evaluation of chess position by modular neural network generated by genetic algorithm",
• booktitle = "Genetic Programming 7th European Conference, EuroGP 2004, Proceedings",
• year = "2004",
• editor = "Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule",
• volume = "3003",
• series = "LNCS",
• pages = "1--10",
• address = "Coimbra, Portugal",
• publisher_address = "Berlin",
• month = "5-7 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-21346-5",
• DOI = "doi:10.1007/978-3-540-24650-3_1",
• 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",
• 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