Multi-Objective Scheduling Strategy of Mine Transportation Robot Based on Three-Dimensional Loading Constraint

In an attempt to solve the problems of low intelligent distribution degree and high working intensity auxiliary transportation systems in underground coal mines, strategy materials whole mine is put forward. Firstly, combined with characteristics standard containers, a three-dimensional loading model established goal maximizing space utilization segmentation heuristic algorithm used material scheme. Then, multi-objective optimization parameters shortest delivery distance, delay time, fewest number vehicles, dual-layer genetic Finally, spatiotemporal conversion coefficient designed task list by hierarchical clustering, solution time reduced 30%. The results show that based on clustering has good adaptability complex scheduling scenarios.