测控技术2018，Vol.37Issue(4)：28-31,4.
基于改进蚁群算法的机器人路径规划
Path Planning of Robot Based on Improved Ant Colony Algorithm
摘要
Abstract
An improved ant colony algorithm for the path planning of robot is proposed.The grid map model and tabu list were set up by using the ant colony algorithms.At the same time,to solve the deadlock problem,it was suggest to discard the ants trapped in the deadlock.When the number of the ant iteration was greater than 60 generations,the speed of algorithm convergence was increased by reducing the strength coefficient of pheromone Q.The experiment results show that the improved algorithm can plan the optimal path quickly,and avoid deadlock and local optimization.关键词
机器人/路径规划/蚁群算法/栅格法Key words
robot/path planning/ant colony algorithm/grid method分类
信息技术与安全科学引用本文复制引用
方春城,孙培明..基于改进蚁群算法的机器人路径规划[J].测控技术,2018,37(4):28-31,4.基金项目
揭阳职业技术学院科研基金重点项目(JYCKZ1305) （JYCKZ1305）
