Presentation 2005/1/18
Hybrid Real-Coded Genetic Algorithm with Local Search
Hong ZHANG, Masumi ISHIKAWA,
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Abstract(in English) In this paper, we propose a hybrid real-coded genetic algorithm with local search for the performance improvement of the solution search of real-coded genetic algorithm. The proposal is successful in introducing local search that has the efficiency of solution search into real-coded genetic algorithms for the first time. Consequently, it is able to expect to efficiently rearch an approximate solution by exercising the merits of both global search and local search in the process of real number solution search. We indicate the meaningful results to demonstrate effectiveness of the proposed method through solving typical parity problem in computer experiments on pattern classification.
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Keyword(in English) real-coded/binary-coded genetic algorithms / local search / global search / parity problem
Paper # NC2004-132
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Committee NC
Conference Date 2005/1/18(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hybrid Real-Coded Genetic Algorithm with Local Search
Sub Title (in English)
Keyword(1) real-coded/binary-coded genetic algorithms
Keyword(2) local search
Keyword(3) global search
Keyword(4) parity problem
1st Author's Name Hong ZHANG
1st Author's Affiliation Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology()
2nd Author's Name Masumi ISHIKAWA
2nd Author's Affiliation Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology
Date 2005/1/18
Paper # NC2004-132
Volume (vol) vol.104
Number (no) 586
Page pp.pp.-
#Pages 6
Date of Issue