期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 17, 期 3, 页码 617-629出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2008.924198
关键词
Branch-and-bound algorithm; fuzzy variable; goal programming; simulation; train timetable problem
资金
- National Basic Research Program of China [2006CB705500]
- National Natural Science Foundation of China [60634010]
- Changjiang Scholars and Innovative Research Team in University [IRT0605]
- New Century Excellent Talents in University [NCET-06-0074]
The aim of the train timetable problem is to determine arrival and departure times at each station so that no collisions will happen between different trains and the resources can be utilized effectively. Due to uncertainty of real systems, train timetables have to be made under an uncertain environment under most circumstances. This paper mainly investigates a passenger train timetable problem with fuzzy passenger demand on a single-line railway in which two objectives, i.e., fuzzy total passengers' time and total delay time, are considered. As a result, an expected value goal-programming model is constructed for the problem. A branch-and-bound algorithm based on the fuzzy simulation is designed in order to obtain an optimal solution. Finally, some numerical experiments are given to show applications of the model and the algorithm.
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