Protected shortest path visiting specified nodes

Teresa Gomes, Sofia Marques, Lúcia Martins, M. Pascoal, D. Tipper
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引用次数: 13

Abstract

In this paper heuristics are proposed for finding the shortest loopless path, from a source node to a target node, that visits a given set of nodes in a directed graph, such that it can be protected using a node-disjoint path. This type of problem may arise due to network management constraints. The problem of calculating the shortest path that visits a given set of nodes is at least as difficult as the traveling salesman problem, and it has not received much attention. Nevertheless an efficient integer linear programming (ILP) formulation has been recently proposed for this problem. Here, the ILP formulation is adapted to include the constraint that the obtained path will be able to be protected by a node-disjoint path. Computational experiments show that this approach, namely in large networks, may fail to obtain a solution in a reasonable amount of time. Therefore three versions of a heuristic are proposed, for which extensive computational results show that they are able to find a solution in most cases, and that the calculated solutions present an acceptable relative error regarding the cost of the optimal active path. Further the CPU time required by the heuristics is significantly smaller than the required by the used ILP solver.
访问指定节点的受保护最短路径
本文提出了一种启发式算法,用于寻找从源节点到目标节点的最短无环路径,该路径访问有向图中给定的一组节点,使得该路径可以使用节点不相交路径进行保护。由于网络管理的限制,可能会出现这种类型的问题。计算访问给定节点集的最短路径的问题至少与旅行推销员问题一样困难,并且没有受到太多关注。然而,最近提出了一种有效的整数线性规划(ILP)公式来解决这个问题。在这里,对ILP公式进行了调整,以包括所获得的路径将能够受到节点不相交路径的保护的约束。计算实验表明,这种方法,即在大型网络中,可能无法在合理的时间内获得解。因此,提出了三种版本的启发式算法,广泛的计算结果表明,它们能够在大多数情况下找到一个解决方案,并且计算出的解决方案在最优主动路径的成本方面具有可接受的相对误差。此外,启发式所需的CPU时间明显小于所使用的ILP求解器所需的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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