Solving Flexible Job Shop Scheduling with Multi Objective Approach

نویسندگان

  • Arash Motaghedi-larijani A. Motaghedi-larijani, Author is with the Department of Industrial Engineering, Iran University of science & technology , Narmak, Tehran, Iran
چکیده

  In this paper flexible job-shop scheduling problem (FJSP) is studied in the case of optimizing different contradictory objectives consisting of: (1) minimizing makespan, (2) minimizing total workload, and (3) minimizing workload of the most loaded machine. As the problem belongs to the class of NP-Hard problems, a new hybrid genetic algorithm is proposed to obtain a large set of Pareto-optimal solutions in a reasonable run time. The algorithm utilizes from a local search heuristic for improving the chance of obtaining more number of global Pareto-optimal solutions. The solution method uses from a perturbed global criterion function for guiding the search direction of the hybrid algorithm. Computational experiences show that the hybrid algorithm has superior performance in contrast to previous studies .

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عنوان ژورنال:

دوره 21  شماره 4

صفحات  197- 209

تاریخ انتشار 2010-12

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