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Campo Dublin Core | Valor | Idioma |
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dc.contributor.author | Campos, Jean Carlos Tiburcio | - |
dc.contributor.author | Martins, Alexandre Xavier | - |
dc.contributor.author | Souza, Marcone Jamilson Freitas | - |
dc.date.accessioned | 2019-05-28T14:27:09Z | - |
dc.date.available | 2019-05-28T14:27:09Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | CAMPOS, J. C. T.; MARTINS, A. X.; SOUZA, M. J. F. A hybrid VNS algorithm for solving the multi-level capacitated minimum spanning tree problem. Electronic notes in discrete mathematics, v. 66, p. 159-166, abr. 2018. Disponível em: <https://www.sciencedirect.com/science/article/pii/S1571065318300672>. Acesso em: 19 fev. 2019. | pt_BR |
dc.identifier.issn | 1571-0653 | - |
dc.identifier.uri | http://www.repositorio.ufop.br/handle/123456789/11351 | - |
dc.description.abstract | This work addresses the multi-level capacitated minimum spanning tree (MLCMST) problem. It consists of finding a minimal cost spanning tree such that the flow to be transferred from a central node (root) to the other nodes is bounded by the edge capacities. In this paper, a hybrid algorithm, combining the Variable Neighborhood Search (VNS) metaheuristic and one mathematical programming formulation of the literature, is used for solving it. The formulation is used to give an initial solution to VNS. Five neighborhoods are used for exploring the solution space. Results show that the VNS is able to improve the initial solutions and to obtain small gap solutions for all instance sets. | pt_BR |
dc.language.iso | en_US | pt_BR |
dc.rights | restrito | pt_BR |
dc.subject | Multi-level capacitated minimum spanning tree | pt_BR |
dc.subject | Variable neighborhood search | pt_BR |
dc.subject | Combinatorial optimization | pt_BR |
dc.subject | Neighborhood structures | pt_BR |
dc.title | A hybrid VNS algorithm for solving the multi-level capacitated minimum spanning tree problem. | pt_BR |
dc.type | Artigo publicado em periodico | pt_BR |
dc.identifier.uri2 | https://www.sciencedirect.com/science/article/pii/S1571065318300672 | pt_BR |
dc.identifier.doi | https://doi.org/10.1016/j.endm.2018.03.021 | pt_BR |
Aparece nas coleções: | DEENP - Artigos publicados em periódicos |
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