TRANSFORMATION OF THE GENERALIZED TRAVELING-SALESMAN PROBLEM INTO THE STANDARD TRAVELING-SALESMAN PROBLEM

被引:38
|
作者
LIEN, YN
MA, E
WAH, BWS
机构
[1] IBM CORP,THOMAS J WATSON RES CTR,DIV RES,YORKTOWN HTS,NY 10598
[2] UNIV ILLINOIS,CTR RELIABLE & HIGH PERFORMANCE COMP,COORDINATED SCI LAB,URBANA,IL 61801
基金
美国国家科学基金会;
关键词
Computational complexity - Optimization - Theorem proving;
D O I
10.1016/0020-0255(93)90133-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the generalized traveling-salesman problem (GTSP), we are given a set of cities that are grouped into possibly intersecting clusters. The objective is to find a closed path of minimum cost that visits at least one city in each cluster. Given an instance G of the GTSP, we first transform G into another instance G' of the GTSP in which all the clusters are nonintersecting, and then transform G' into an instance G'' of the standard traveling-salesman problem (TSP). We show that any feasible solution of the TSP instance G'' can be transformed into a feasible solution of the GTSP instance G of no greater cost, and that any optimal solution of the TSP instance G'' can be transformed into an optimal solution of the GTSP instance G.
引用
收藏
页码:177 / 189
页数:13
相关论文
共 50 条