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A New Transportation Problem on a Graph with Sending and Bringing-Back Operations

机译:发送和带回操作的图表中的新交通问题

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This paper considers a transportation problem which is different from the conventional model. Suppose we are given many storages (nodes) to store multiple kinds of commodities together with roads (edges) interconnecting them, which are specified as a weighted graph. Some storages have surplus and others have shortages. Problem is to determine whether there are transportations to eliminate all of shortages. For transportation we can use a vehicle with the loading capacity at each node. Each vehicle visits one of its neighbors with some commodities which are unloaded at the neighbor. Then, we load some other commodities there, and then bring them back to the original node. How to design such send-and-bring-back transportations to eliminate all shortages is the problem. When we define a single round of transportations to be a set of those transportations at all nodes, whether there is a single round of valid transportations that eliminate all of shortages is our concern. After proving NP-completeness of the problem we present a linear time algorithm for a special case where an input graph is a forest.
机译:本文考虑了与传统模型不同的运输问题。假设我们被赋予许多存储(节点)与互连它们的道路(边缘)一起存储多种商品,这些商品被指定为加权图。有些商店有盈余,其他商店有短缺。问题是确定是否存在传输以消除所有短缺。对于运输,我们可以在每个节点上使用带有装载容量的车辆。每个车辆都使用邻居卸载的一些商品访问其一个邻居。然后,我们加载一些其他商品,然后将它们返回原始节点。如何设计这样的发送和回收传输以消除所有短缺的问题是问题。当我们定义一轮传输时,成为所有节点的一组传输时,是否有一轮有效的有效运输,消除了所有短缺的是我们的关注。在证明问题的NP完整之后,我们呈现了一个线性时间算法,用于输入图是森林的特殊情况。

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