GA-based Resource Transportation Scheduling Optimization of Open-Pit Mine

The open-pit mine vehicle scheduling problems are discussed to assign the mine resource reasonably, adjusting the balance of supply and demand effectively and improving the transportation efficiently, and provide necessary technical support for complete open-pit operational scheduling measures. Meanwhile, we design natural number coding genetic algorithms with the technologies of adaptive adjustment of maximum reserved exchange, exchange rate and mutation rate, which achieves good performance in the experiments of solving transportation problems. The experimental results show the approach proposed in this article is feasible and effective, providing a novel technical measure for the optimization of open-pit mine vehicle scheduling.