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On the Round-Trip 1-Center and 1-Median Problems

机译:关于往返一中和一中问题

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This paper studies the round-trip single-facility location problem, in which a set A of collection depots is given and the service distance of a customer is defined to be the distance from the server, to the customer, then to a depot, and back to the server. (The input is a graph G whose vertices and edges are weighted, whose vertices represent client positions, and that the set of depots is specified in the input as a subset of the points on G.) We consider the restricted version, in which each customer i is associated with a subset A~i (⊂) A of depots that i can potentially select from and use. Improved algorithms are proposed for the round-trip 1-center and 1-median problems on a general graph. For the 1-center problem, we give an O(mn lgn)-time algorithm, where n and m are, respectively, the numbers of vertices and edges. For the 1-median problem, we show that the problem can be solved in O(min{mn lg n, mn + n~2 lg n + n|A|}) time. In addition, assuming that a matrix that stores the shortest distances between every pair of vertices is given, we give an O(n∑_i min{|A~i|,n} + n|A|)-time algorithm. Our improvement comes from a technique which we use to reduce each set A'. This technique may also be useful in solving the depot location problem on special classes of graphs, such as trees and planar graphs.
机译:本文研究了往返单设施位置问题,其中给出了一组集合仓库,并且客户的服务距离定义为从服务器到客户,然后到仓库的距离,以及回到服务器。 (输入是图G,其顶点和边都经过加权,其顶点代表客户位置,并且在输入中指定了一组仓库作为G上点的子集。)我们考虑受限版本,其中每个客户i与我可以从中选择和使用的仓库的子集A〜i(⊂)A相关联。针对一般图上的1-中心和1-中位数问题,提出了一种改进的算法。对于1中心问题,我们给出O(mn lgn)时间算法,其中n和m分别是顶点和边的数量。对于一中值问题,我们表明该问题可以在O(min {mn lg n,mn + n〜2 lg n + n | A |})时间内解决。另外,假设给出了存储每对顶点之间最短距离的矩阵,我们给出O(n∑_i min {| A〜i |,n} + n | A |)时间算法。我们的改进来自于一种用于减少每个集合A'的技术。此技术在解决特殊类别的图(例如树和平面图)上的仓库位置问题时也可能很有用。

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