Proceedings of the Fuzzy System Symposium
25th Fuzzy System Symposium
Session ID : 2F3-01
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An Interactive Genetic Algorithm with Tournament Evaluation Applying Paired Preference Test by Multiple People
*Hiroshi TakenouchiMasataka TokumaruNoriaki Muranaka
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Abstract

In this paper, we propose an interactive genetic algorithm applying paired preference test that obtains evaluations of individuals from multiple people. In this paper, the effectiveness of the proposed technique was verified by a simulation using multiple evaluation agents in place of real evaluators. In the simulation, when 100 the evaluation agents participated in a vote, we can reduce necessary votes for the evaluation of the solution 25% than conventional technique. Moreover we confirmed that the proposed technique was more effective than the conventional technique from the viewpoint that efficiency of the tournament competition.

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© 2009 Japan Society for Fuzzy Theory and Intelligent Informatics
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