Estratégias de resolução exata para o problema do corte global rotulado mínimo
Ano de defesa: | 2020 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal da Paraíba
Brasil Informática Programa de Pós-Graduação em Informática UFPB |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | https://repositorio.ufpb.br/jspui/handle/123456789/18537 |
Resumo: | In this work, we approach the Minimum Labeling Global Cut Problem (MLGCP), which is a combinatorial analysis problem and can be formally defined as: Let G = (V, E, L) be an edge-labeled graph in which V is the set of vertices of G, E is the set of edges, L is the set of labels (colors) on E and each edge e ∈ E has a label L(e) associated; The goal of MLGCP is to find a subset L 0 ⊆ L of labels such that G = (V, E0 , L\L 0 ) is not connected and |L 0 | is minimized. So, in order to solve this problem, we developed some strategies for exact resolution, extended and adapted the concept of chromatic closure, and developed a new family of mathematical formulations called MFd. For the construction of the MFd, we were based on a model present in literature called PART2, defined in Silva et al (2016). The computational experiments demonstrated that the model proposed in this work obtained a great improvement of time compared to the PART2 model. |