Multiobjective evolutionary algorithms for operational planning problems in open-pit mining

Rafael F. Alexandre, Felipe Campelo, João A. Vasconcelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper addresses the problem of planning and allocation of trucks in open-pit mines in terms of three conflicting objectives, and adapts three algorithms for its solution: NSGA-II, SPEA2, and a variant of the Pareto Iterated Local Search using Reduced Variable Neighborhood Search as its local exploration mechanism. Results on four different mining scenarios are also reported and compared.
Original languageEnglish
Title of host publicationProceedings of the Genetic and Evolutionary Computation Conference - GECCO '17
PublisherACM
Pages259-261
Number of pages2
ISBN (Print)9781450349390
DOIs
Publication statusPublished - 15 Jul 2017

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Alexandre, R. F., Campelo, F., & Vasconcelos, J. A. (2017). Multiobjective evolutionary algorithms for operational planning problems in open-pit mining. In Proceedings of the Genetic and Evolutionary Computation Conference - GECCO '17 (pp. 259-261). ACM. https://doi.org/10.1145/3067695.3076004