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Critical edges for the assignment problem : complexity and exact resolution

Bazgan, Cristina; Toubaline, Sónia; Vanderpooten, Daniel (2013), Critical edges for the assignment problem : complexity and exact resolution, Operations Research Letters, 41, 6, p. 685-689. 10.1016/j.orl.2013.10.001

Type
Article accepté pour publication ou publié
Date
2013
Journal name
Operations Research Letters
Volume
41
Number
6
Publisher
Elsevier
Pages
685-689
Publication identifier
10.1016/j.orl.2013.10.001
Metadata
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Author(s)
Bazgan, Cristina
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Toubaline, Sónia
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Vanderpooten, Daniel
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
This paper investigates two problems related to the determination of critical edges for the minimum cost assignment problem. Given a complete bipartite balanced graph with nn vertices on each part and with costs on its edges, kkMost Vital Edges Assignment consists of determining a set of kk edges whose removal results in the largest increase in the cost of a minimum cost assignment. A dual problem, Min Edge Blocker Assignment, consists of removing a subset of edges of minimum cardinality such that the cost of a minimum cost assignment in the remaining graph is larger than or equal to a specified threshold. We show that kkMost Vital Edges Assignment is NPNP-hard to approximate within a factor c<2c<2 and Min Edge Blocker Assignment is NPNP-hard to approximate within a factor 1.361.36. We also provide an exact algorithm for kkMost Vital Edges Assignment that runs in O(nk+2)O(nk+2). This algorithm can also be used to solve exactly Min Edge Blocker Assignment.
Subjects / Keywords
Assignment problem; Approximation; Complexity; Exact algorithm; Min edge blocker; Most vital edges

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