Genetic algorithm for flexible job-shop scheduling

カテゴリ: 部門大会

論文No: GS9-6

グループ名: 【C】平成28年電気学会電子・情報・システム部門大会講演論文集

発行日: 2016/08/31

タイトル(英語): Genetic algorithm for flexible job-shop scheduling

著者名: He Yiyong(早稲田大学)

著者名(英語): Yiyong He()

キーワード: 遺伝アルゴリズム|Genetic Algorithm

要約(日本語): Scheduling problem is a well-known problem, which influence the efficiency of factories in producing products. Flexible job-shop problem is one kind of scheduling problem in which operations can be operated in several different machines. To solve this problem, a improved genetic algorithm is proposed, by cooperating with the characteristics of the problem, this method tries to find a better solution in a shorter computing time.

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