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Evolution of Heuristics for Give-Away Checkers
Author(s) -
Magdalena Kusiak,
Karol Walȩdzik,
Jacek Mańdziuk
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-28755-8
DOI - 10.1007/11550907_155
Subject(s) - heuristics , computer science , heuristic , evolutionary algorithm , artificial intelligence , quality (philosophy) , mathematical optimization , machine learning , theoretical computer science , mathematics , operating system , philosophy , epistemology
The efficacy of two evolutionary approaches to the problem of generation of heuristical linear and non-linear evaluation functions in the game of give-away checkers is tested in the paper. Experimental results show that both tested methods lead to heuristics of reasonable quality and evolutionary algorithms can be successfully applied to heuristic generation in case not enough expert knowledge is available.

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