A comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorAlexandre, Rafael Frederico-
Autor(es): dc.creatorNonato, Luiz Felipe Campelo-
Autor(es): dc.creatorFonseca, Carlos M.-
Autor(es): dc.creatorVasconcelos, João Antônio de-
Data de aceite: dc.date.accessioned2025-08-21T15:24:10Z-
Data de disponibilização: dc.date.available2025-08-21T15:24:10Z-
Data de envio: dc.date.issued2025-07-11-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttps://www.repositorio.ufop.br/handle/123456789/20532-
Fonte completa do material: dc.identifierhttps://publications.aston.ac.uk/id/eprint/40982/1/2015_Conference_EMO_A_comparative_study_of_algorithms_for_solving_the_Multiobjective_Open_Pit_Mining_Operational_Planning_Problems.pdf-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1013399-
Descrição: dc.descriptionThis work presents a comparison of results obtained by dif- ferent methods for the Multiobjective Open-Pit Mining Operational Plan- ning Problem, which consists of dynamically and efficiently allocating a fleet of trucks with the goal of maximizing the production while reducing the number of trucks in operation, subject to a set of constraints defined by a mathematical model. Three algorithms were used to tackle instances of this problem: NSGA-II, SPEA2 and an ILS-based multiobjective op- timizer called MILS. An expert system for computational simulation of open pit mines was employed for evaluating solutions generated by the algorithms. These methods were compared in terms of the quality of the solution sets returned, measured in terms of hypervolume and empirical attainment function (EAF). The results are presented and discussed.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer International Publishing-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectOpen pit mines-
Palavras-chave: dc.subjectDispatch-
Palavras-chave: dc.subjectMultiobjective optimization-
Palavras-chave: dc.subjectPerformance comparison-
Título: dc.titleA comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems.-
Aparece nas coleções:Repositório Institucional - UFOP

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