Contreras, Ivan ORCID: https://orcid.org/0000-0002-0235-8108, Armando Zetina, Carlos, Fernández, Elena and Luna-Mota, Carlos (2017) Solving the Optimum Communication Spanning Tree Problem. European Journal of Operational Research . ISSN 03772217 (In Press)
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Official URL: http://dx.doi.org/10.1016/j.ejor.2018.07.055
Abstract
This paper presents an algorithm based on Benders decomposition to solve the optimum communication spanning tree problem. The algorithm integrates within a branch-and-cut framework a stronger reformulation of the problem, combinatorial lower bounds, in-tree heuristics, fast separation algorithms, and a tailored branching rule. Computational experiments show solution time savings of up to three orders of magnitude compared to state-of-the-art exact algorithms. In addition, our algorithm is able to prove optimality for five unsolved instances in the literature and four from a new set of larger instances.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering |
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Item Type: | Article |
Refereed: | Yes |
Authors: | Contreras, Ivan and Armando Zetina, Carlos and Fernández, Elena and Luna-Mota, Carlos |
Journal or Publication: | European Journal of Operational Research |
Date: | 6 December 2017 |
Funders: |
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Digital Object Identifier (DOI): | 10.1016/j.ejor.2018.07.055 |
Keywords: | Networks; Network optimization; Benders decomposition; Spanning trees |
ID Code: | 984182 |
Deposited By: | ALINE SOREL |
Deposited On: | 22 Aug 2018 15:41 |
Last Modified: | 08 Aug 2020 00:00 |
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