Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/4440
Title: Multi-objective approaches for the open-pit mining operational planning problem.
Authors: Coelho, Vitor Nazário
Souza, Marcone Jamilson Freitas
Coelho, Igor Machado
Guimarães, Frederico Gadelha
Lust, Thibaut
Cruz, Raphael Carlos
Keywords: Open pit mining
Algorithm
Issue Date: 2012
Citation: COELHO, V. N. et al. Multi-objective approaches for the open-pit mining operational planning problem. Electronic Notes in Discrete Mathematics, v. 39, p. 233-240, 2012. Disponível em: <http://www.sciencedirect.com/science/article/pii/S1571065312000327>. Acesso em: 12 fev. 2015.
Abstract: This 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.
URI: http://www.repositorio.ufop.br/handle/123456789/4440
ISSN: 15710661
metadata.dc.rights.license: O Periódico Electronic Notes in Discrete Mathematics concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3566530658736.
Appears in Collections:DECOM - Artigos publicados em periódicos

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