Application of Improved Ant Colony Algorithm in Mobile Robot Path Planning

被引：0
|
作者：
Li, Ming [1 ]
Wang, Lei [1 ]
Cai, Jing-Cao [1 ]
机构：
[1] Anhui Polytech Univ, Sch Mech & Automot Engn, Wuhu 241000, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON MECHANICS DESIGN, MANUFACTURING AND AUTOMATION (MDM 2016) | 2016年
关键词：
Improved Ant Colony Algorithm; Mobile Robot; Path Planning; Grid Method;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to deal with the problem such as slow convergent speed and local optimum existing in traditional ant colony algorithm (ACO) for mobile robot path planning, an improved ant colony algorithm is proposed, and the improvement includes state transition probability and dynamic pheromone evaporation coefficient. Simulation results show that this method is superior to the traditional ant colony algorithm, and therefore it can effectively improve the quality of the path planning of the robot.
引用
收藏
页码：15 / 19
页数：5
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