Global Optimization of Open Pit Mining Complexes with Uncertainty
A stochastic global optimization framework for open pit mining complexes is developed. The method simultaneously optimizes production schedules and downstream processes. The modeling is flexible and may be applied to numerous types of mining complexes. Three combinations of metaheuristics are tested using simulated annealing, particle swarm optimization and differential evolution. An example demonstrates that the stochastic design is 6.6
global optimization production scheduling metaheuristics open pit mine design destination policy