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The genetic algorithm vs alpha-beta algorithm when applied to othello
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)In: Proceedings of Umeå's 16th student conference in computing science: USCCS 2013 / [ed] Suna Bensch & Frank Drewes, Umeå: Umeå universitet , 2013, 13-25 p.Conference paper, Published paper (Other academic)
Abstract [en]

The Alpha-beta algorithm is a commonly used algorithmin two-player zero-sum games, such as Othello, for making AI-players.This article presents the application of the Alpha-beta algorithm and thegenetic algorihtm for Othello with a set of commonly used strategies.The genetic algorithm is in many ways a contrast to the more struc-tured Alpha-beta algorihtm, where the results often appear more as ifby magic. The work presented herein has implemented and run teo AI-players for Othello using both algorithms. The result indicates that thegenetic player outshines the Alpha-beta player when they play againsteach other.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2013. 13-25 p.
Series
UMINF, ISSN 0348-0542 ; 13.01
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-71505OAI: oai:DiVA.org:umu-71505DiVA: diva2:624460
Conference
Umeå's 16th student conference in computing science (USCCS 2013), 2nd of January 2013, Umeå
Available from: 2013-05-31 Created: 2013-05-31 Last updated: 2013-05-31Bibliographically approved

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CiteExportLink to record
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