4C2 A TWO-LEVEL METHOD OF PARALLEL COMPUTING FOR LOGISTICS NETWORK OPTIMIZATION THROUGH HYBRID DISCRETE PSO
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概要
- 論文の詳細を見る
Recently, we have concerned the strategic optimization on logistic network design and developed an efficient two-level solution method. To cope with extremely large-scale problems, in this paper, we propose an extended algorithm of the two-level algorithms that utilizes the analogy between the algorithm and the master-worker configuration of PC cluster for parallel computing. To enhance efficiency both in speed and accuracy, we adopted a population-based algorithm like particle swarm optimization (PSO) and developed a new discrete algorithm of PSO to deal with the binary decision variables standing for open or close of DC sites. Then, we have developed a parallel procedure that can make the over head for the parallel computing extremely small, and finally bring about a high performance for the parallel computing suitable for the present goal and circumstance. Through numerical experiments, we confirmed effectiveness of the proposed method from certain aspects to evaluate the effectiveness of parallelization.
- 一般社団法人日本機械学会の論文
- 2009-07-04
著者
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Ikeda Masashi
Production Systems Engineering Toyohashi University Of Technology
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Shimizu Yoshiaki
Production Systems Engineering, Toyohashi University of Technology
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Batres Rafael
Production Systems Engineering, Toyohashi University of Technology
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Batres Rafael
Production Systems Engineering Toyohashi University Of Technology
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Shimizu Yoshiaki
Production Systems Engineering Toyohahsi University Of Technology
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