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A new method coupling simulation and a hybrid metaheuristic to solve a multiobjective hybrid flowshop scheduling problem

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Abstract

In this paper, we have studied a multiobjective hybrid flowshop scheduling problem where n independent jobs should be executed in a hybrid assembly line. The aim of our work is to optimize the makespan and the total tardiness of the whole production. A simulation based optimization algorithm is proposed here to solve this problem. It is a combination of the simulation software ARENA and the FLC-NSGA-II optimization method. The latter uses a fuzzy logic controller to adjust the crossover and the mutation probabilities, in order to enhance the research ability of the traditional NSGA-II algorithm. This method is first compared with the industrial solutions, and then with NSGA-II. The result shows the efficiency and the feasibility of our proposed method.

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hal-02552255 , version 1 (23-04-2020)

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Xiaohui Li, Hicham Chehade, Farouk Yalaoui, Lionel Amodeo. A new method coupling simulation and a hybrid metaheuristic to solve a multiobjective hybrid flowshop scheduling problem. 7th conference of the European Society for Fuzzy Logic and Technology, Jul 2011, Aix-Les-Bains, France. ⟨10.2991/eusflat.2011.33⟩. ⟨hal-02552255⟩

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