期刊
ENGINEERING OPTIMIZATION
卷 48, 期 11, 页码 1973-1989出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2016.1145216
关键词
robust scheduling; multi-objective flexible job shop; flexible workdays; goal-guided multi-objective search
资金
- National High Technology Research and Development Programme (863) of China [2012AA040907]
- Key Laboratory Development Projects of Beijing, China
This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies.
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