摘要
随着物流业的大力发展,通过发展智慧仓储物流,可以极大降低物流成本,加快产业的发展.本文提出了一种在智慧仓储中的AGV车辆系统避碰路径规划,首先利用带时间窗的栅格方法模拟了AGV的制造车间工作环境,提出一种改进蚁群算法,通过改进概率转换公式和信息素更新规则,最后仿真结果验证了该算法可以解决多个AGV的避障路径规划问题,进而实现智慧仓储物流.
With the vigorous development of the logistics industry,the development of smart warehousing logistics can greatly reduce logistics costs and accelerate the development of the industry.This study proposes an AGV vehicle system collision avoidance path planning in smart storage.First,the grid method with time windows is used to simulate the working environment of the AGV’s manufacturing workshop,and an improved ant colony algorithm is proposed.By improving the probability conversion formula and the pheromone update rule,the simulation results verify that the algorithm can solve the obstacle avoidance path planning problem of multiple AGVs,and then realize the intelligent warehouse logistics.
作者
叶杭璐
何利力
YE Hang-Lu;HE Li-Li(School of Information Science and Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China)
出处
《计算机系统应用》
2021年第1期207-213,共7页
Computer Systems & Applications
基金
国家重点研发计划(2018YFB1700702)。
关键词
智慧仓储物流
AGV
时间窗建模
改进蚁群算法
避障路径规划
intelligent warehouse logistics
AGV
time window modeling
improved ant colony algorithm
collision avoidance path planning
