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A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling
Discrete Dynamics in Nature and Society
A fuzzy optimization model based on improved symmetric tolerance approach is introduced, which allows for rescheduling high-speed railway timetable under unexpected interferences. The model nests different parameters of the soft constraints with uncertainty margin to describe their importance to the optimization purpose and treats the objective in the same manner. Thus a new optimal instrument is expected to achieve a new timetable subject to little slack of constraints. The section betweendoi:10.1155/2012/827073 fatcat:wl7pmtb5pfe47hxu3yq3zey4ma