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Published in:
2008 | OriginalPaper | Chapter
Solving Very Difficult Japanese Puzzles with a Hybrid Evolutionary-Logic Algorithm
Authors : Emilio G. Ortiz-García, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras, Xin Yao
Published in: Simulated Evolution and Learning
Publisher: Springer Berlin Heidelberg
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In this paper we present a hybrid evolutionary algorithm to solve a popular logic-type puzzle, the so called Japanese puzzle. We propose to use the evolutionary algorithm in order to initialize a logic ad-hoc algorithm, which works as a local search and implicitly defines the fitness function of the problem. Two novel operators, one for initializing the evolutionary algorithm and a second one providing a novel type of mutation adapted to Japanese puzzles are described in the paper.