基于混合算法的智能立体停车库研究

Research on Intelligent Stereo Parking Base based on Hybrid Algorithm

受到停车压力的影响,立体车库因占地面积少、可容纳车辆多等优点愈来愈被相关领域人员关注。立体车库主要问题是如何优化载车板在存取车时的运动路线,提高调度效率。文中利用结合了蚁群算法和遗传算法的混合算法,获得了车库载车板运动的最优路径,达到了节省存取车辆所用时间的目的。仿真实验结果表明,此方法可使立体车库的调度更加方便、智能、快捷。

Affected by parking pressure, three-dimensional garage covers less area and accommodates more vehicles, etc., so more and more people in the field are concerned about this. The main research direction of the three-dimensional garage is to optimize the movement path when the truck plate accesses the vehicles, so It can improve the scheduling efficiency. The hybrid algorithm in this paper includes the advantages of ant colony algorithm and genetic algorithm to get the optimal path of the car-loading board for the reason of saving the time that people spent in accessing the car. This method can make the dispatch of the three-dimensional garage more convenient, smart and fast.