吉林大学学报（信息科学版）2006，Vol.24Issue(2)：148-152,5.
动态环境下机器人路径规划的混合蚁群算法
Algorithm for Route Planning of Robot in Dynamic Environment
摘要
Abstract
Ant colony system is used as a global route-planning algorithm, and APF (Artificial Potential Field)algorithm is used as a local route-planning algorithm for mobile robot in dynamic environment. Some modifications were made to accommodate ant colony system to grid-based environment. Simulation results showed that the hybrid algorithm can reach a preferable performance and could meet the real-time demand.关键词
蚁群算法/动态环境/路径规划Key words
ant colony system/dynamic environment/mute planning分类
信息技术与安全科学引用本文复制引用
梅昊,田彦涛,祖丽楠..动态环境下机器人路径规划的混合蚁群算法[J].吉林大学学报（信息科学版）,2006,24(2):148-152,5.基金项目
中国科学院机器人重点实验室基金资助项目(RL200101) （RL200101）
