A Reinforcement Learning System for Transfer Scheduling of Freight Cars in a Train

نویسنده

  • Yoichi Hirashima
چکیده

In this paper, a Q-Learning method for trasfer scheduling of freight cars in a train is proposed. In the proposed method, the number of freight-movements in order to line freights in the desired order is reflected by evaluation value for each pair of freight-layout and removal-destination at a freight yard. The best transfer scheduling can be derived by selecting the removal-action of freight that has the best evaluation value at each freight-layout.

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تاریخ انتشار 2010