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Research on Wagon-Flow Allocation in Marshalling Station Considering the Delivery Time Frame

机译:考虑交货期的编组站货车流量分配研究

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This paper presents a formulation and solution for the problem of wagon-flow allocation in marshalling station, in order to ensure the delivery time of goods. By comparing the remaining transport time of goods with the remaining delivery time, the time urgency is obtained. Considering the difference of urgency between different goods, which reflected by the "penalty", the minimum weighted sum of the penalty is took as the optimization objective. With the constraints of marshalling destination, a comprehensive optimization model of shunting operation plan and wagon-flow allocation plan based on delivery time frame is established. The genetic algorithm is designed to solve the model. And the model and algorithm in this paper can be used to solve the wagon-flow allocation problem and satisfy the delivery time frame requirements in China Railway.
机译:本文提出了编组站车流分配问题的解决方案,以保证货物的交货时间。通过比较剩余的货物运输时间和剩余的交货时间,可以获得时间紧迫性。考虑到“罚金”所反映的不同商品之间的紧急度差异,以罚金的最小加权总和为优化目标。在编组目的地的约束下,建立了基于交付时间框架的调车作业计划和货车流量分配计划的综合优化模型。设计了遗传算法来求解模型。并且本文的模型和算法可以用来解决货车流量分配问题,满足中国铁路运输时间框架的要求。

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