T-Spanner Problem

Riham Moharam, E. Morsy, Ismail A. Ismail
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Abstract

The t-spanner problem is a popular combinatorial optimization problem and has different applications in communication networks and distributed systems. This chapter considers the problem of constructing a t-spanner subgraph H in a given undirected edge-weighted graph G in the sense that the distance between every pair of vertices in H is at most t times the shortest distance between the two vertices in G. The value of t, called the stretch factor, quantifies the quality of the distance approximation of the corresponding t-spanner subgraph. This chapter studies two variations of the problem, the Minimum t-Spanner Subgraph (MtSS) and the Minimum Maximum Stretch Spanning Tree(MMST). Given a value for the stretch factor t, the MtSS problem asks to find the t-spanner subgraph of the minimum total weight in G. The MMST problem looks for a tree T in G that minimizes the maximum distance between all pairs of vertices in V (i.e., minimizing the stretch factor of the constructed tree). It is easy to conclude from the literatures that the above problems are NP-hard. This chapter presents genetic algorithms that returns a high quality solution for those two problems.
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T-Spanner问题
t型扳手问题是一种流行的组合优化问题,在通信网络和分布式系统中有着不同的应用。本章考虑在给定无向边权图G中构造t-扳手子图H的问题,因为H中每对顶点之间的距离最多是G中两个顶点之间的最短距离的t倍。t的值称为拉伸因子,量化了相应t-扳手子图的距离逼近的质量。本章研究了该问题的两种变体,最小t-Spanner子图(MtSS)和最小最大拉伸生成树(MMST)。给定拉伸因子t的值,MtSS问题要求找到G中最小总权重的t-扳手子图。MMST问题在G中寻找最小化V中所有顶点对之间最大距离的树t(即最小化构造树的拉伸因子)。从文献中很容易得出上述问题是np困难的结论。本章介绍的遗传算法可以为这两个问题提供高质量的解决方案。
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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