Mobile robot path planning based on improved ant colony optimization algorithm
文献类型：会议论文
| 作者 | Zhao JP(赵娟平); Gao XW(高宪文); Fu XH(符秀辉) |
| 出版日期 | 2011 |
| 会议日期 | July 22-24, 2011 |
| 会议地点 | Yantai, China |
| 关键词 | Ant Colony Optimization Path Planning Mobile Robot Path Selecting Strategy Global Pheromone Updating |
| 页码 | 4102-4104 |
| 英文摘要 | Ant two-way parallel searching strategy presented in [1] is adopted to utilize cooperation ability between ants and 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 encountering judgment method is proposed. Then in order to avoid running into local optima a new path selecting strategy and a new global pheromone updating tactic are proposed. Simulation researches indicate improved algorithm has good efficiency and as long as the path objectively exists the algorithm can plan a safe optimal path quickly. |
| 源文献作者 | Academy of Mathematics and Systems Science, CAS; IEEE Control Systems Society; IEEE Industrial Electronics Society; The Society of Instr. and Contr. Engineers of Japan; Institute of Control, Robotics and Systems of Korea |
| 产权排序 | 3 |
| 会议录 | Proceedings of the 30th Chinese Control Conference, CCC 2011
 |
| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-988-17255-9-2 |
| WOS记录号 | WOS:000312652104039 |
| 源URL | [http://ir.sia.cn/handle/173321/20070]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Zhao JP(赵娟平) |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110015, China 2.College of Information Science and Engineering, Northeastern University, Shenyang 110004, China 3.Academy of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China |
| 推荐引用方式 GB/T 7714 | Zhao JP,Gao XW,Fu XH. Mobile robot path planning based on improved ant colony optimization algorithm[C]. 见:. Yantai, China. July 22-24, 2011. |
入库方式： OAI收割
来源：沈阳自动化研究所
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