Generalized k-multiway cut problems

被引:1
|
作者
Liu J. [1 ,2 ]
Peng Y. [3 ,4 ,5 ]
Zhao C. [3 ,4 ,5 ]
机构
[1] Department of Mathematics and Computer Science, University of Lethbridge, Lethbridge
[2] Department of Mathematics and Computer Science, Indiana State University, Terre Haute
[3] Department of Mathematics and Computer Science, Indiana State University, Terre Haute
关键词
Approximation; Generalized k-multiway cut; Local search; Randomized algorithm;
D O I
10.1007/BF02896389
中图分类号
学科分类号
摘要
This paper considers the following problem: given an edge-weighted graph G = (V, E, w) and disjoint k-subsets Up of V, find a minimum weighted set of edges E′ ⊆ CE such that its removal disconnects the graph into k parts and each part contains exactly one vertex from each Up for 1 ≤ p ≤ r. This generalizes some well-known NP-hard problems. In this paper, we first apply greedy local search algorithm to obtain better approximation solutions, Then we give a randomized local search algorithm which produces a solution within a factor (1 + ε) with the probability at least (1 - 1/e) for any small ε. Simple near-optimum approximation algorithms are also proposed. Analogously, there is a maximum k-multiway cut problem with the same restrictions. © 2006 Korean Society for Computational & Applied Mathematics and Korean SIGCAM.
引用
收藏
页码:69 / 82
页数:13
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