PROJECT TITLE :
A Hybrid Multiobjective Evolutionary Algorithm for Truck Dispatching in Open-Pit-Mining
This 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 native search operators for scanning the neighborhood of non-possible 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 situations). The obtained results showed that the proposed algorithm is competitive and it made good solutions in most instances for all scenarios.
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