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Minimization of maximum tardiness in a no-wait two stage flexible flow shop

Nazanin Moradi nasab, Rasoul Shafaei, Meysam Rabiee, Mostafa Mazinani


This paper discuses about no wait two stage multiprocessor flow shop scheduling problem. The haracteristics of this problem are unit setup times and rework probability for jobs after second stage. The problem investigated in this study belong to NP-hard classes of scheduling problem, Therefore, two novel metaheuristics namely discrete particle swarm optimization and imperialist competitive algorithm are utilized to solve this problem. The performance measure considered is mean tardiness. In order to evaluate the performance of the proposed algorithms, at first some
experiments are generated randomly and then the results obtained using the proposed algorithms are compared with those of ant colony optimization and genetic algorithm. Results are compared in terms of relative deviation index. The results of the simulation study reveal that the proposed ICA outperforms the other algorithms.


ICA, PSO, No-wait, Flexible flow shop.

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