Multi-objective approaches for the open-pit mining operational planning problem.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorCoelho, Vitor Nazário-
Autor(es): dc.creatorSouza, Marcone Jamilson Freitas-
Autor(es): dc.creatorCoelho, Igor Machado-
Autor(es): dc.creatorGuimarães, Frederico Gadelha-
Autor(es): dc.creatorLust, Thibault-
Autor(es): dc.creatorCruz, Raphael Carlos-
Data de aceite: dc.date.accessioned2019-11-06T13:32:10Z-
Data de disponibilização: dc.date.available2019-11-06T13:32:10Z-
Data de envio: dc.date.issued2015-02-13-
Data de envio: dc.date.issued2015-02-13-
Data de envio: dc.date.issued2012-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/4440-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/557481-
Descrição: dc.descriptionThis work presents three multi-objective heuristic algorithms based on Two-phase Pareto Local Search with VNS (2PPLS-VNS), Multi-objective Variable Neighborhood Search (MOVNS) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). The algorithms were applied to the open-pit-mining operational planning problem with dynamic truck allocation (OPMOP). Approximations to Pareto sets generated by the developed algorithms were compared considering the hypervolume and spacing metrics. Computational experiments have shown the superiority of the algorithms based on VNS methods, which were able to find better sets of non-dominated solutions, more diversified and with an improved convergence.-
Idioma: dc.languageen-
Direitos: dc.rightsO Periódico Electronic Notes in Discrete Mathematics concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3566530658736.-
Palavras-chave: dc.subjectOpen pit mining-
Palavras-chave: dc.subjectAlgorithm-
Título: dc.titleMulti-objective approaches for the open-pit mining operational planning problem.-
Aparece nas coleções:Repositório Institucional - UFOP

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