An improved FPTAS for Restricted Shortest Path

被引:85
作者
Ergun, F
Sinha, R
Zhang, L
机构
[1] AT& T Labs, Middletown, NJ 07748 USA
[2] Bell Labs, Murray Hill, NJ 07974 USA
[3] Case Western Reserve Univ, Cleveland, OH 44106 USA
关键词
approximation algorithms; combinatorial problems; shortest path; acyclic graphs;
D O I
10.1016/S0020-0190(02)00205-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Given a graph with a cost and a delay on each edge, Restricted Shortest Path (RSP) aims to find a min-cost s-t path subject to an end-to-end delay constraint. The problem is NP-hard. In this note we present an FPTAS with an improved running time of O(mn/epsilon) for acyclic graphs, where m and n denote the number of edges and nodes in the graph. Our algorithm uses a scaling and rounding technique similar to that of Hassin [Math. Oper. Res. 17 (1) (1992) 36-42]. The novelty of our algorithm lies in its "adaptivity". During each iteration of our algorithm the approximation parameters are fine-tuned according to the quality of the current solution so that the running time is kept low while progress is guaranteed at each iteration. Our result improves those of Hassin [Math. Oper. Res. 17 (1) (1992) 36-42], Phillips [Proc. 25th Annual ACM Symposium on the Theory of Computing, 1993, pp. 776-785], and Raz and Lorenz [Technical Report, 1999]. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:287 / 291
页数:5
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