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 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.
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Keyword(in English) distributed GA / parallel cooperative-competitive genetic operators / 0/1 multiple knapsack problems
Paper # AI2001-4
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Committee AI
Conference Date 2001/5/11(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
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
Date of Issue