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Heuristics for Hub Location Problems with Alternative Capacity Levels and Allocation Constraints

机译:具有替代容量级别和分配约束的集线器位置问题的启发式

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We consider the hub location problem in which the capacity of a hub restricts the amount of traffic transiting through the hub, the capacity of a hub is a decision variable, and each non-hub can only be allocated to a certain number of hubs. The objective is to determine the number of hubs, to locate the hubs, to determine the capacity level of each hub, to allocate the non-hubs to the hubs, and to determine the path for each origin-destination pair such that the total cost is minimized. Two heuristics based on the threshold accepting method are proposed to resolve this type of hub location problems. Computational characteristics of the proposed heuristics are evaluated through computational experiments using the modified CAB and AP data sets.
机译:我们考虑中心位置问题,其中集线器的容量限制了通过集线器的流量运输量,集线器的容量是决策变量,并且每个非集线器只能分配给一定数量的集线器。目的是确定集线器的数量,以定位集线器,以确定每个集线器的容量电平,以将非集线器分配给集线器,并确定每个原始目的地对的路径,使得总成本最小化。提出了两个基于阈值接受方法的启发式方法来解决这种类型的集线器位置问题。通过使用修改的驾驶室和AP数据集的计算实验来评估所提出的启发式的计算特性。

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