Presentation | 2000/5/19 A New Crossover Method for Distributed Genetic Algorithms MIKI Mitsunori, HIROYASU Tomoyuki, YOSHIDA Jun-ichi, OHMUKAI Ikki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a new crossover method for distributed genetic algorithms(DGA). DGA with multiple Subpopulations provides better solutions than conventional GA with a single population, and the proposed method including the hybridization crossover and the best combinatorial crossover is developed to increase the performance of DGA. The proposed method provides high local search ability in each Subpopulation and high global search ability by the migration, and is evaluated with four standard test functions. The experimental results showed that the proposed method is very effective. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Optimization / Evolutionary strategy / Genetic Algorithms / Distributed Populations / Crossover method |
Paper # | AI2000-15 |
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Committee | AI |
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Conference Date | 2000/5/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A New Crossover Method for Distributed Genetic Algorithms |
Sub Title (in English) | |
Keyword(1) | Optimization |
Keyword(2) | Evolutionary strategy |
Keyword(3) | Genetic Algorithms |
Keyword(4) | Distributed Populations |
Keyword(5) | Crossover method |
1st Author's Name | MIKI Mitsunori |
1st Author's Affiliation | Knowledge Engineering Dept., Doshisha University() |
2nd Author's Name | HIROYASU Tomoyuki |
2nd Author's Affiliation | Knowledge Engineering Dept., Doshisha University |
3rd Author's Name | YOSHIDA Jun-ichi |
3rd Author's Affiliation | Graduate School of Engineering, Doshisha University |
4th Author's Name | OHMUKAI Ikki |
4th Author's Affiliation | Graduate School of Engineering, Doshisha University |
Date | 2000/5/19 |
Paper # | AI2000-15 |
Volume (vol) | vol.100 |
Number (no) | 89 |
Page | pp.pp.- |
#Pages | 8 |
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