Presentation | 2001/5/11 The Effect of Parallel Cooperative-Competitive Genetic Operators in the Performance of Distributed GAs Hernan E. Aguirre, Kiyoshi Tanaka, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this work we study the performance of a distributed GA that incorporates in its core parallel cooperative-competitive genetic operators. A series of controlled experiments are conducted using various large and difficult 0/1 multiple knapsack problems to test the robustness of the distributed GA. Simulation results verify that the proposed distributed GA compared with a canonical distributed GA significantly gains in search speed and convergence reliability with less communication cost for migration. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | distributed GA / parallel cooperative-competitive genetic operators / 0/1 multiple knapsack problems |
Paper # | AI2001-4 |
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Committee | AI |
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Conference Date | 2001/5/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The Effect of Parallel Cooperative-Competitive Genetic Operators in the Performance of Distributed GAs |
Sub Title (in English) | |
Keyword(1) | distributed GA |
Keyword(2) | parallel cooperative-competitive genetic operators |
Keyword(3) | 0/1 multiple knapsack problems |
1st Author's Name | Hernan E. Aguirre |
1st Author's Affiliation | Faculty of Engineering, Shinshu University() |
2nd Author's Name | Kiyoshi Tanaka |
2nd Author's Affiliation | Faculty of Engineering, Shinshu University |
Date | 2001/5/11 |
Paper # | AI2001-4 |
Volume (vol) | vol.101 |
Number (no) | 66 |
Page | pp.pp.- |
#Pages | 8 |
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