Solving a hybrid flowshop scheduling problem with a decomposition technique and a fuzzy logic based method
نویسندگان
چکیده
We are interested in this paper in solving a multiobjective hybrid flowshop scheduling problem (HFS). The problem has different parameters and constraints such as release dates, due dates and sequence dependent setup times. Two different objectives should be optimized at once: the makespan and the total tardiness to be minimized. To solve the problem, we have developed two versions of a new decomposition technique based on the NSGA-II algorithm which is called HD-CLAY. This method decomposes a HFS problem with f stages into f sub-problems of parallel machines or single machine. To assess the efficiency of the proposed method, the latter is compared with the classical NSGA-II algorithm and with another metaheuristic coupled to a fuzzy logic controller. The experimental results show the advantages of the decomposition technique. Key-Words: Scheduling, decomposition technique, fuzzy logic, multiobjective optimization
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