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A mathematical programming approach for bi-levels tree hub location network

机译:双层树枢纽定位网络的数学编程方法

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We design an optimal tree hub location network containing bi-levels, hub nodes and non hub nodes. Often, the cost of connection link between two places is very high. Due to take over problem, some nodes play role of hub. Hub nodes act switching, transshipment, and distribution of people or commodity. A route between all nodes should be existed in the network. So, transportation network must be graph with minimum number of arcs while spans all nodes. There is no cycle in this network. Here, we propose a mathematical programming model for a network considering optimal location of hub facilities where all connection links in the network are in the form of tree. Our aim is cost minimization using minimum spanning tree (MST) method in the whole network.
机译:我们设计了一个包含两级,集线器节点和非集线器节点的最佳树型集线器定位网络。通常,两个地方之间的连接链接成本很高。由于接管问题,一些节点起着集线器的作用。集线器节点负责人员,商品的交换,转运和分配。网络中应存在所有节点之间的路由。因此,运输网络必须是跨所有节点的,具有最小弧数的图形。该网络中没有周期。在这里,我们提出了一种考虑网络中心设施的最佳位置的网络数学规划模型,其中网络中的所有连接链路都是树形的。我们的目标是在整个网络中使用最小生成树(MST)方法实现成本最小化。

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