Solving multi-objective job shop scheduling problems using a non-dominated sorting genetic algorithm

The efforts of finding optimal schedules for the job shop scheduling problems are highly important for many real-world industrial applications. In this paper, a multi-objective based job shop scheduling problem by simultaneously minimizing makespan and tardiness is taken into account. The problem is...

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書誌詳細
主要な著者: Piroozfard, Hamed, Wong, Kuan Yew
フォーマット: Conference or Workshop Item
出版事項: 2015
主題:
オンライン・アクセス:http://eprints.utm.my/id/eprint/59479/
http://dx.doi.org/10.1063/1.4915695
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