Solving Flexible Job-shop Problem with Sequence-dependent Setup Times by Using Selection Hyper-heuristics

Author(s):  
Min Luo ◽  
Jian Lin ◽  
Li Xu
Author(s):  
Toru Eguchi ◽  
Katsutoshi Nishi ◽  
Hiroaki Kawai ◽  
Takeshi Murayama

In this paper, we propose a dynamic job shop scheduling method to minimize tardiness with consideration to sequence dependent setup times. Schedules are optimized on a rolling basis using the mixture of genetic algorithm and switching priority rules. Both in genetic algorithm and switching rules, schedules are generated to increase due date allowances to be robust in dynamic environment. Numerical experiments show the effectiveness of the proposed method.


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