NDLI: Assessing the positional values of chess pieces by tuning neural networks' weights with an evolutionary algorithm

Content Provider	IEEE Xplore Digital Library
Author	Vazquez-Fernandez, Eduardo Coello Coello, Carlos A. Sagols Troncoso, Feliu D.
Copyright Year	2012
Description	Author affiliation: CINVESTAV-IPN (Evolutionary Computation Group), Departamento de Computación, Av. IPN No. 2508, Col. San Pedro Zacatenco, México, D.F., 07360, MEXICO (Vazquez-Fernandez, Eduardo) \|\| CINVESTAV-IPN, Departamento de Matemáticas, Av. IPN No. 2508, Col. San Pedro Zacatenco, México, D.F., 07360, MEXICO (Sagols Troncoso, Feliu D.) \|\| CINVESTAV-IPN (Evolutionary Computation Group), Departamento de Computación, Av. IPN 2508, Col. San Pedro Zacatenco, México, D.F., 07360, MEXICO (Coello Coello, Carlos A.)
Abstract	Finding a method that can automatically set the weights of the evaluation function of a chess engine is an important research topic, since the use of manual settings requires a significant amount of time and expertise, which are not always available. The specialized literature reports several works in which the weights of the positional values of the chess pieces are evolved based on values stored in tables. Here, however, we propose to use a neural network architecture to obtain the positional values of the chess pieces based on specific features of each position. The neural networks that we adopt for this sake are relatively small and we argue that they constitute a robust way of obtaining the positional values of the chess pieces. The adjustment of weights of such neural networks was done through the use of an evolutionary algorithm, producing an increase of 433 points of the ranking of our chess engine (from 1745 to 2178 points, reaching a value close to that of a chessmaster).
Starting Page	1
Ending Page	6
File Size	355568
Page Count	6
File Format	PDF
ISBN	9781467344975
ISSN	21544824
e-ISBN	9781889334479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Neural networks Games Engines Evolutionary computation Materials Feature extraction Electronic mail
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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