6A3 BRANCH AND BOUND METHOD WITH GENETIC ALGORITHM FOR FLEXIBLE FLOWSHOP SCHEDULING(Technical session 6A : Sophisticated scheduling 3)
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概要
- 論文の詳細を見る
This paper deals with the multi-stage flexible flowshop problem to obtain the schedule to minimize the total completion time. We propose the hybrid approach of the branch and bound method and the genetic algorithm to improve the computational efficiency. The genetic algorithm is used to estimate the upper bound in the bounding scheme, which may reduce the number of nodes to be searched.
- 一般社団法人日本機械学会の論文
- 2004-05-24
著者
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Morita Hiroshi
Department Of Applied Physics Graduate School Of Engineering The University Of Tokyo:crest Japan Sci
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Morita Hiroshi
Department Of Information Physics And Sciences Graduate School Of Information Science And Technology
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Shio Naoki
Department of Information Physics and Sciences Graduate School of Information Science and Technology
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Shio Naoki
Department Of Information Physics And Sciences Graduate School Of Information Science And Technology
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Morita Hiroshi
Department Of Applied Chemistry School Of Engineering Kanagawa University
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