Polyhedral results, branch‐and‐cut and Lagrangian relaxation algorithms for the adjacent only quadratic minimum spanning tree problem

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorPereira, Dilson Lucas-
Autor(es): dc.creatorCunha, Alexandre Salles da-
Data de aceite: dc.date.accessioned2026-02-09T11:41:59Z-
Data de disponibilização: dc.date.available2026-02-09T11:41:59Z-
Data de envio: dc.date.issued2019-03-29-
Data de envio: dc.date.issued2019-03-29-
Data de envio: dc.date.issued2018-01-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/56621320-
Fonte completa do material: dc.identifierhttps://onlinelibrary.wiley.com/doi/full/10.1002/net.21787-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1145485-
Descrição: dc.descriptionGiven a complete and undirected graph G, the adjacent only quadratic minimum spanning tree problem (AQMSTP) consists of finding a spanning tree that minimizes a quadratic function of its adjacent edges. The strongest AQMSTP linear integer programming formulation in the literature works on an extended variable space, using exponentially many decision variables assigned to the stars of G. In this article, we characterize three families of facet defining inequalities by investigating the projection of that formulation onto the space of the canonical linearization variables. On the algorithmic side, we introduce four new branch‐and‐bound algorithms. Three of them are branch‐and‐cut algorithms based on the inequalities characterized by projection. The fourth is based on a Lagrangian relaxation scheme, also devised for the star reformulation. Two of the branch‐and‐cut algorithms provide very good results, almost always dominating the previously best algorithm for the problem. The Lagrangian relaxation based branch‐and‐bound algorithm provides even better results. It manages to solve all previously solved AQMSTP instances in the literature in about one tenth of the time needed by its competitors. © 2017 Wiley Periodicals, Inc. NETWORKS, Vol. 71(1), 31–50 2018-
Idioma: dc.languageen-
Publicador: dc.publisherWiley-
Direitos: dc.rightsrestrictAccess-
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Palavras-chave: dc.subjectBranch‐and‐cut algorithms-
Palavras-chave: dc.subjectAdjacent only quadratic minimum spanning tree problem-
Palavras-chave: dc.subjectLagrangian relaxation-
Palavras-chave: dc.subjectAlgoritmos branch-and-cut-
Palavras-chave: dc.subjectProblema de árvore estendida mínima quadrática adjacente-
Palavras-chave: dc.subjectRelaxamento Lagrangiano-
Título: dc.titlePolyhedral results, branch‐and‐cut and Lagrangian relaxation algorithms for the adjacent only quadratic minimum spanning tree problem-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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