Performance Study of a Distributed Genetic Algorithm with Parallel Cooperative-Competitive Genetic Operators(<Special Section>Nonlinear Theory and Its Applications)
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概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2002-09-01
著者
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Tanaka K
Department Of Computers And Systems Engineering Tokyo Denki University
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Aguirre H
Shinshu Univ. Nagano‐shi Jpn
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Aguirre Hernan
The Faculty Of Engineering Shinshu University
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TANAKA Kiyoshi
The Faculty of Engineering, Shinshu University
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OSHITA Shinjiro
The Faculty of Engineering, Shinshu University
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Aguirre Hernan
The Authors Are With The Faculty Of Engineering Shinshu University
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Oshita Shinjiro
Faculty Of Engineering Shinshu University
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Tanaka K
Shinshu Univ.
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Kamata Toru
Faculty Of Agriculture Niigata University
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Tanaka Kiyoshi
The Faculty Of Engineering Shinshu University
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Oshita S
Faculty Of Engineering Shinshu University
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