A Scatter Search Method for Fuzzy Job Shop Scheduling Problem with Availability Constraints

نویسندگان

  • Orhan Engin
  • M. Kerim Yılmaz
  • Cengiz Kahraman
  • M. Emin Baysal
  • Ahmet Sarucan
چکیده

In the last decade job shop scheduling problems have been subject to intensive research due to their multiple applications. Job shop scheduling is known as a strongly NPcomplete problem. In the job shop scheduling problems, processing times and due dates are very dynamically due to both human and machine resource factors. Fuzzy sets are used to model the uncertain processing times and due dates in recent years. In this study, a fuzzy job shop scheduling problem with availability constraints is considered. A Scatter Search (SS) method is proposed to solve these problems. The feasibility and effectiveness of the proposed scatter search method is demonstrated by comparing it with the hybrid genetic algorithm (HGA).

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تاریخ انتشار 2011