A network improvement problem under different norms

被引:18
作者
Zhang, JZ [1 ]
Yang, XG
Cai, MC
机构
[1] City Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
[2] Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
基金
中国国家自然科学基金;
关键词
network improvement problems; location problem; strongly polynomial algorithms; inapproximability;
D O I
10.1023/B:COAP.0000013061.17529.79
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we first consider a network improvement problem, called vertex-to-vertices distance reduction problem. The problem is how to use a minimum cost to reduce lengths of the edges in a network so that the distances from a given vertex to all other vertices are within a given upper bound. We use l(infinity), l(1) and l(2) norms to measure the total modification cost respectively. Under l(infinity) norm, we present a strongly polynomial algorithm to solve the problem, and under l(1) or weighted l(2) norm, we show that achieving an approximation ratio O( log(|V|)) is NP-hard. We also extend the results to the vertex-to-points distance reduction problem, which is to reduce the lengths of edges most economically so that the distances from a given vertex to all points on the edges of the network are within a given upper bound.
引用
收藏
页码:305 / 319
页数:15
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