Skip to Main content Skip to Navigation
Conference papers

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

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.
Document type :
Conference papers
Complete list of metadatas

https://hal-utt.archives-ouvertes.fr/hal-02552255
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, April 23, 2020 - 2:07:22 PM
Last modification on : Friday, April 24, 2020 - 1:47:32 AM

Links full text

Identifiers

Collections

ROSAS | UTT | CNRS

Citation

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⟩

Share

Metrics

Record views

17