3A1 CO-EVOLUTIONARY GENETIC ALGORITHMS FOR REACTIVE SCHEDULING
スポンサーリンク
概要
- 論文の詳細を見る
Our previous researches provided a reactive scheduling method using the genetic algorithm to improve disturbed production schedules, due to unscheduled disruptions, such as delays of manufacturing operations. This paper deals with an extension of the reactive scheduling method to modify not only the loading sequences but also machining sequences of jobs by using co-evolutionary genetic algorithms. Two different kinds of individuals for the loading sequences and the machining sequences are generated and improved simultaneously in co-evolutionary processes. A prototype of new reactive scheduling system was developed, and the effectiveness of the proposed method was verified through computational experiments.
- 一般社団法人日本機械学会の論文
- 2009-07-04
著者
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Iwamura Koji
Graduate School Of Engineering Osaka Prefecture University
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TANIMIZU Yoshitaka
Graduate school of engineering, Osaka Prefecture University
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Sugimura Nobuhiro
Graduate School Of Engineering Osaka Prefecture University
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OZAWA Chisato
Graduate School of Engineering, Osaka Prefecture University
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Komatsu Yusuke
Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology
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Ozawa Chisato
Graduate School Of Engineering Osaka Prefecture University
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Tanimizu Yoshitaka
Graduate School Of Engineering Osaka Prefecture University
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