基于蚁群算法的AGV路径规化的实现

蚁群算法是受自然界中蚁群搜索食物行为启发而提出的一种智能优化算法,通过介绍蚁群觅食过程中基于信息素的最短路径的搜索策略,来解决AGV小车寻优路径的问题,并通过仿真验证了这种算法可求得最简路径的效果,并通过AGV地址识别技术,阐述了AGV小车和计算机的通讯协议,以达到较好的控制效果。

Implementation of the AVG path planning based on the ant colony algorithms

Ant colony algorithm is from ant colony searching for food in the nature and acting as a smart optimal algorithm.Through the introduction of the process in which ant colony searching for the food is based on the pheromones of the shortest path search strategy to solve the problem for the optimal path searching of AVG car.The simulation validates that this algorithm educes the simplest path,and through the AVG address identification technology,it illustrates the communication protocols of AGV car and computer to achieve better control effect.