中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Improved Ant Colony Optimization Algorithm for Mobile Robot Path Planning

文献类型:会议论文

作者Zhao JP(赵娟平); Fu XH(符秀辉); Jiang Y(姜莹)
出版日期2011
会议名称2011 3rd International Workshop on Intelligent Systems and Applications (ISA)
会议日期May 28-29, 2011
会议地点Wuhan, China
关键词ant colony optimization path planning mobile robot two-way parallel searching meeting judgment pheromone mutual steering
页码4 pp.
中文摘要Ant two-way parallel searching strategy is adopted to accelerate searching speed, but it is clearly seen that this tactic loses some feasible paths and even loses optimal path, so a new ants meeting judgment method is proposed in this paper. At the same time pheromone gain is added to allocate initial pheromone reasonably in order to deal with slow searching speed brought by equivalence distributing of initial pheromone. Pheromone mutual leading method is also designed to accelerate optimizing speed. Above designs can accelerate searching speed but maybe put algorithm running into local optima, so chaos disturbance is introduced to help algorithm jumping out local optima. Finally simulation results indicate that the optimal path on which the robot moves can reach safely and rapidly under 2-D environment.
收录类别EI
产权排序2
会议主办者Hubei Univ. Technol.
会议录2011 3rd International Workshop on Intelligent Systems and Applications (ISA)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4244-9855-0
源URL[http://ir.sia.cn/handle/173321/8572]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Zhao JP,Fu XH,Jiang Y. An Improved Ant Colony Optimization Algorithm for Mobile Robot Path Planning[C]. 见:2011 3rd International Workshop on Intelligent Systems and Applications (ISA). Wuhan, China. May 28-29, 2011.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。