Cardinality constrained minimum cut problems: complexity and algorithms

被引:14
作者
Bruglieri, M
Maffioli, F
Ehrgott, M
机构
[1] Politecn Milan, Dipartimento Elettr & Informat, I-20133 Milan, Italy
[2] Univ Auckland, Dept Engn Sci, Auckland, New Zealand
关键词
cut problems; k-cardinality minimum cut; cardinality constrained combinatorial optimization; computational complexity; semidefinite programming;
D O I
10.1016/S0166-218X(03)00358-5
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In several applications the solutions of combinatorial optimization problems (COP) are required to satisfy an additional cardinality constraint, that is to contain a fixed number of elements. So far the family of (COP) with cardinality constraints has been little investigated. The present work tackles a new problem of this class: the k-cardinality minimum cut problem (k-card cut). For a number of variants of this problem we show complexity results in the most significant graph classes. Moreover, we develop several heuristic algorithms for the k-card cut problem for complete, complete bipartite, and general graphs. Lower bounds are obtained through an SDP formulation, and used to show the quality of the heuristics. Finally, we present a randomized SDP heuristic and numerical results. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:311 / 341
页数:31
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