Presentation | 2005/1/18 Hybrid Real-Coded Genetic Algorithm with Local Search Hong ZHANG, Masumi ISHIKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | real-coded/binary-coded genetic algorithms / local search / global search / parity problem |
Paper # | NC2004-132 |
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Committee | NC |
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Conference Date | 2005/1/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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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 |
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