5A2 COMPOSITION AND ACQUISITION OF RULES FOR FLEXIBLE SHOP SCHEDULING PROBLEMS(Technical session 5A : Sophisticated scheduling 2)
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概要
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In this paper, we consider to solve an extended class of flexible shop scheduling problems under the condition that information on jobs to be processed is not given beforehand, i.e., under the framework of real-time scheduling. To find a solution, we apply such a method where jobs are to be dispatched by applying a set of rules (a rule-set), and propose an approach in which rule-sets are generated and improved by using the genetics-based machine learning technique. Through some computational experiments, the effectiveness and the potential of the proposed approach are investigated.
- 一般社団法人日本機械学会の論文
- 2004-05-24
著者
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Sakakibara Kazutoshi
Graduate School Of Science And Technology Kobe University
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Murao Hajime
Faculty Of Cross-cultural Studies Kobe University
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Tamaki H
Department Of Computer And Systems Engineering Faculty Of Engineering Kobe University
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Tamaki Hisashi
Faculty Of Engineering Kobe University
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Kitamura Shinzo
Faculty of Engineering Kobe University
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Kitamura Shinzo
Department Of Computer And Systems Engineering Faculty Of Engineering Kobe University
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