Coelho, Vitor NazárioSouza, Marcone Jamilson FreitasCoelho, Igor MachadoGuimarães, Frederico GadelhaLust, ThibautCruz, Raphael Carlos2015-02-132015-02-132012COELHO, 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. 2015.1571-0661http://www.repositorio.ufop.br/handle/123456789/4440This 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.en-USOpen pit miningAlgorithmArtigo publicado em periodicoO periódico Electronic Notes in Discrete Mathematics concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3566530658736.https://doi.org/10.1016/j.endm.2012.10.031