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.
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