عنوان مقاله [English]
نویسندگان [English]چکیده [English]
This paper consider flexible jobshop scheduling problem with minimizing maximum completion time of orders(Cmax), maximum workload of machines(Wmax) and total workloads (WT). The problem is known as Np-Hard. So finding the optimal solution in a reasonable time is impossible. A genetic algorithm named 2 part genetic algorithm is proposed for solving the problem. For evaluating the problem, we used 2 test data sets and proposed genetic algorithm is compared with other algorithms in the literature. Results show proposed genetic algorithm has higher performance for solving the problem in comparison with other algorithms.
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