A Hybrid Multiobjective Evolutionary Algorithm for Truck Dispatching in Open-Pit-Mining

The current paper presents a multiobjective genetic algorithm for dynamic truck dispatching in open pit mining. The proposed algorithm implements a heuristic for generating the initial solutions set that uses local search operators for scanning the neighborhood of non-feasible solutions set and for exploring the neighborhood of feasible solutions set. The developed algorithm was evaluated with others algorithms using a set of real data problems (open pit mining testing scenarios). The obtained results showed that the proposed algorithm is competitive and it produced good solutions in most instances for all scenarios.