Mine-to-mill multi-objective optimal blending with technical and economic constraints using a modified genetic algorithm
by Oscar Daniel Chuk; Carlos Gustavo Rodriguez Medina; Marina Romero; Luis Ventura Gutierrez; Juan Pedro Gil
International Journal of Mining and Mineral Engineering (IJMME), Vol. 9, No. 2, 2018

Abstract: Optimisation techniques have been used effectively in the open pit mine planning. However, they are incorporated more slowly in the optimal solution of mine-to-mill blending. Specifically, no contributions are observed from the multi-objective approach. This work shows the application of a multi-objective genetic algorithm with additional non-natural genetic operations to the solution of this problem. The implementation of the algorithm in a particular case, but easily generalisable, is presented. The results show the efficiency of the procedure, with significant improvements in the Net Present Value.

Online publication date: Wed, 23-May-2018

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