Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/17238
Title: Compact mixed integer linear programming models to the Minimum Weighted Tree Reconstruction problem
Author: Fortz, Bernard
Requejo, Cristina
Oliveira, Olga
Keywords: Mixed integer linear programming
Distance matrix
Tree realization
Topology discovery
Routing topology inference
Balanced minimum evolution problem
Minimum evolution problem
Issue Date: Jan-2017
Publisher: Elsevier
Abstract: The Minimum Weighted Tree Reconstruction (MWTR) problem consists of finding a minimum length weighted tree connecting a set of terminal nodes in such a way that the length of the path between each pair of terminal nodes is greater than or equal to a given distance between the considered pair of terminal nodes. This problem has applications in several areas, namely, the inference of phylogenetic trees, the modeling of traffic networks and the analysis of internet infrastructures. In this paper, we investigate the MWTR problem and we present two compact mixed-integer linear programming models to solve the problem. Computational results using two different sets of instances, one from the phylogenetic area and another from the telecommunications area, show that the best of the two models is able to solve instances of the problem having up to 15 terminal nodes.
Peer review: yes
URI: http://hdl.handle.net/10773/17238
DOI: 10.1016/j.ejor.2016.06.014
ISSN: 0377-2217
Appears in Collections:CIDMA - Artigos
OGTCG - Artigos

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