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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vazquez-Fernandez, E. Coello, C.A.C. Troncoso, F.D.S. |
| Copyright Year | 2011 |
| Description | Author affiliation: CINVESTAV-IPN, Departamento de Matemáticas, Av. ipn No. 2508, Col. San Pedro Zacatenco, México, D.F. 07360, México (Troncoso, F.D.S.) || CINVESTAV-IPN, (Evolutionary Computation Group) and UMI LAFMIA 3175 CNRS at CINVESTAV-IPN, Departamento de Computación, Av. IPN No. 2508, Col. San Pedro Zacatenco, México D.F. 07300, México (Coello, C.A.C.) || CINVESTAV-IPN, (Evolutionary Computation Group), Departamento de Computatión, Av. ipn No. 2508, Col. San Pedro Zacatenco, México D.F. 07300, México (Vazquez-Fernandez, E.) |
| Abstract | This paper proposes a method for tuning the weights of the evaluation function of a chess program whose search engine is based on evolutionary programming. In our proposed approach, each individual in the population of the evolutionary algorithm represents a virtual player with specific weights of its evaluation function. This differs from most of the previous approaches reported in the literature, in which normally a tournament between virtual players is held, and the final result (win, loss or draw) is used to decide which players will pass to the following generation. The selection mechanism of our proposed algorithm uses games from chess grandmasters to decide which virtual player will pass to the following generation. Our results indicate that the weight values obtained by our approach are similar to the values known from chess theory. Additionally, the standard deviation from the different runs performed, are lower than those reported by authors of previous related approaches. |
| Starting Page | 842 |
| Ending Page | 848 |
| File Size | 242207 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424478347 |
| e-ISBN | 9781424478354 |
| DOI | 10.1109/CEC.2011.5949706 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Games Evolutionary computation Engines Databases Tuning Humans Materials |
| Content Type | Text |
| Resource Type | Article |
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