Maximally Disjoint Solutions of the Set Covering Problem

This paper is concerned with finding two solutions of a set covering problem that have a minimum number of variables in common. We show that this problem is NP-complete, even in the case where we are only interested in completely disjoint solutions. We describe three heuristic methods based on the s...

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Bibliographic Details
Published inJournal of heuristics Vol. 7; no. 2; p. 131
Main Authors Hammer, Peter L, Rader, David J
Format Journal Article
LanguageEnglish
Published Boston Springer Nature B.V 01.03.2001
Subjects
Algorithms
Boolean
Heuristic
Integer programming
Mathematical models
Optimization
Questionnaires
Studies
Variables
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Summary:This paper is concerned with finding two solutions of a set covering problem that have a minimum number of variables in common. We show that this problem is NP-complete, even in the case where we are only interested in completely disjoint solutions. We describe three heuristic methods based on the standard greedy algorithm for set covering problems. Two of these algorithms find the solutions sequentially, while the third finds them simultaneously. A local search method for reducing the overlap of the two given solutions is then described. This method involves the solution of a reduced set covering problem. Finally, extensive computational tests are given demonstrating the nature of these algorithms. These tests are carried out both on randomly generated problems and on problems found in the literature. [PUBLICATION ABSTRACT]
ISSN:1381-1231
1572-9397
DOI:10.1023/A:1009687403254