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Complexity of Determining the Most Vital Elements for the 1-median and 1-center Location Problems

机译:确定1个中位数和1个中心位置问题的最重要元素的复杂性

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We consider the k most vital edges (nodes) and min edge (node) blocker versions of the 1-median and 1-center location problems. Given a weighted connected graph with distances on edges and weights on nodes, the k most vital edges (nodes) 1-median (respectively 1-center) problem consists of finding a subset of k edges (nodes) whose removal from the graph leads to an optimal solution for the 1-median (respectively 1-center) problem with the largest total weighted distance (respectively maximum weighted distance). The complementary problem, min edge (node) blocker 1-median (respectively 1-center), consists of removing a subset of edges (nodes) of minimum cardinality such that an optimal solution for the 1-median (respectively 1-center) problem has a total weighted distance (respectively a maximum weighted distance) at least as large as a specified threshold. We show that k most vital edges 1-median and k most vital edges 1-center are iVP-hard to approximate within a factor 7/5 and 4/3- respectively, for any > 0, while k most vital nodes 1-median and k most vital nodes 1-center are NP-hard to approximate within a factor 3/2 - , for any > 0. We also show that the complementary versions of these four problems are NP-hard to approximate within a factor 1.36.
机译:我们考虑了1个中位数和1个中心位置问题的k个最重要的边缘(节点)和最小边缘(节点)阻止程序版本。给定一个加权的连通图,其边缘具有距离,节点具有权重,则k个最重要的边缘(节点)的1个中值(分别为1个中心)问题包括找到k个边缘(节点)的子集,将其从图中去除导致具有最大总加权距离(分别为最大加权距离)的1中值(分别为1中心)问题的最优解。补充问题是最小边缘(节点)阻塞器1中值(分别为1中心),它包括去除基数最小的边缘(节点)的子集,从而为1中值(分别为1中心)问题提供了最佳解决方案。具有的总加权距离(分别为最大加权距离)至少等于指定的阈值。我们显示,对于任何> 0,k个最重要的结点1中值和k个最重要的结点1中心分别近似于7/5和4 / 3-的iVP-hard,而k个最重要的结点1中值并且k个最重要的节点1中心对NP很难在3/2-范围内近似,对于任何>0。我们还表明,这四个问题的互补版本在NP难以在1.36因子范围内近似。

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