The quadratic minimum spanning tree problem: lower bounds via extended formulations

Fuente: arXiv
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Autori principali: Sotirov, Renata, Verchére, Zoe
Natura: Preprint
Pubblicazione: 2021
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author Sotirov, Renata
Verchére, Zoe
author_facet Sotirov, Renata
Verchére, Zoe
contents The quadratic minimum spanning tree problem (QMSTP) is the problem of finding a spanning tree of a graph such that the total interaction cost between pairs of edges in the tree is minimized. We first show that most of the bounding approaches for the QMSTP are closely related. Then, we exploit an extended formulation for the minimum spanning tree problem to derive a sequence of relaxations for the QMSTP with increasing complexity. The resulting relaxations differ from the relaxations in the literature. Namely, our relaxations have a polynomial number of constraints and can be efficiently solved by a cutting plane algorithm. Moreover our bounds outperform most of the bounds from the literature.
format Preprint
id arxiv_https___arxiv_org_abs_2102_10647
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle The quadratic minimum spanning tree problem: lower bounds via extended formulations
Sotirov, Renata
Verchére, Zoe
Optimization and Control
The quadratic minimum spanning tree problem (QMSTP) is the problem of finding a spanning tree of a graph such that the total interaction cost between pairs of edges in the tree is minimized. We first show that most of the bounding approaches for the QMSTP are closely related. Then, we exploit an extended formulation for the minimum spanning tree problem to derive a sequence of relaxations for the QMSTP with increasing complexity. The resulting relaxations differ from the relaxations in the literature. Namely, our relaxations have a polynomial number of constraints and can be efficiently solved by a cutting plane algorithm. Moreover our bounds outperform most of the bounds from the literature.
title The quadratic minimum spanning tree problem: lower bounds via extended formulations
topic Optimization and Control
url https://arxiv.org/abs/2102.10647