2015
DOI: 10.1002/net.21667
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Integer programming formulations for thek-edge-connected 3-hop-constrained network design problem

Abstract: In this article, we study the k -edge-connected L-hopconstrained network design problem. Given a weighted graph G = (V , E ), a set D of pairs of nodes, two integers L ≥ 2 and k ≥ 2, the problem consists in finding a minimum weight subgraph of G containing at least k edge-disjoint paths of length at most L between every pair {s, t } ∈ D. We consider the problem in the case where L = 2, 3 and |D| ≥ 2. We first discuss integer programming formulations introduced in the literature. Then, we introduce new integer … Show more

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Cited by 13 publications
(12 citation statements)
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References 31 publications
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“…Edge/node-disjoint Huygens et al [25] IPF, valid inequalities and branch-and-cut algorithm for L = 2, 3 k ≥ 1 Edge-disjoint Bendali et al [2] Characterization of the associated polytope for L = 3 and |D| = 1 k ≥ 1 Edge-disjoint Diarrassouba et al [13] Valid inequalities and branch-and-cut and branch-and-cut-and-price algorithms for L = 2, 3 k = 2 Node-disjoint Diarrassouba et al [12] Valid inequalities and branch-and-cut algorithm for L = 3 , valid inequalities, ILP formulation, valid separation, branch-and-cut, polytope inequalities, separation, characterization [1,20,22,23,27,30] branch-and-cut [20,22,23,27,31] k ≥ 3 L = ∞ ILP formulation, valid inequalities, ILP formulation, separation separation, branch-and-cut, polytope valid inequalities, characterization [1,20,23,27,30] branch-and-cut [3,8,20,23] k = 2 L = 2, 3 ILP formulation, valid inequalities, ILP formulation, valid inequalities separation, branch-and-cut [25,26] polyhedral study, branch-and-cut [2,8,20,23] k = 2 L = 4 ILP formulation, valid inequalities, ILP formulation, valid inequalities separation, branch-and-cut [24,25] branch-and-cut [24]…”
Section: Edge and Node Versions Without Boundsmentioning
confidence: 99%
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“…Edge/node-disjoint Huygens et al [25] IPF, valid inequalities and branch-and-cut algorithm for L = 2, 3 k ≥ 1 Edge-disjoint Bendali et al [2] Characterization of the associated polytope for L = 3 and |D| = 1 k ≥ 1 Edge-disjoint Diarrassouba et al [13] Valid inequalities and branch-and-cut and branch-and-cut-and-price algorithms for L = 2, 3 k = 2 Node-disjoint Diarrassouba et al [12] Valid inequalities and branch-and-cut algorithm for L = 3 , valid inequalities, ILP formulation, valid separation, branch-and-cut, polytope inequalities, separation, characterization [1,20,22,23,27,30] branch-and-cut [20,22,23,27,31] k ≥ 3 L = ∞ ILP formulation, valid inequalities, ILP formulation, separation separation, branch-and-cut, polytope valid inequalities, characterization [1,20,23,27,30] branch-and-cut [3,8,20,23] k = 2 L = 2, 3 ILP formulation, valid inequalities, ILP formulation, valid inequalities separation, branch-and-cut [25,26] polyhedral study, branch-and-cut [2,8,20,23] k = 2 L = 4 ILP formulation, valid inequalities, ILP formulation, valid inequalities separation, branch-and-cut [24,25] branch-and-cut [24]…”
Section: Edge and Node Versions Without Boundsmentioning
confidence: 99%
“…ILP formulation, valid inequalities, Considered in this paper separation, branch-and-cut, extended formulation [2,4,5,[7][8][9]13] The remaining of the paper is organized as follows. In Section 2, we give an integer programming formulation for the problem.…”
Section: Edge and Node Versions Without Boundsmentioning
confidence: 99%
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“…Bendali et al give a complete and minimal description of the polytope associated with the problem when L = 3 and | D | = 1 . Diarrassouba et al (see also ) consider the problem when k 1 , | D | 2 and L { 2 , 3 } . They present several integer programming formulations for the problem and devise a Branch‐and‐Cut algorithm for the problem in this latter case.…”
Section: Introductionmentioning
confidence: 99%