期刊
APPLIED SOFT COMPUTING
卷 9, 期 1, 页码 362-376出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.asoc.2008.04.013
关键词
Simulation modeling; Combinatorial optimization; Flexible job shop scheduling; Ant colony optimization; Multi-objective optimization; Scheduling knowledge
Flexible job shop schedule is very important in both fields of combinatorial optimization and production management. In this paper, a simulation model is presented to solve the multi-objective flexible job shop scheduling problem. The proposed model has been coded by Matlab which is a special mathematical computation language. After modeling the pending problem, the model is validated by five representative instances based on practical data. The results obtained from the computational study have shown that the proposed approach is a feasible and effective approach for the multi-objective flexible job shop scheduling problem. (C) 2008 Elsevier B.V. All rights reserved.
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