中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improved ant colony optimization algorithm and its application for path planning of mobile robot in 3-D space

文献类型:会议论文

作者Zhao JP(赵娟平); Gao XW(高宪文); Liu JG(刘金刚); Fu XH(符秀辉)
出版日期2010
会议名称2nd IEEE International Conference on Advanced Computer Control
会议日期March 27-29, 2010
会议地点Shenyang, China
关键词mobile robot path planning ant colony optimization algorithm differential evolution Chaos sinulation
页码194-198
通讯作者赵娟平
中文摘要An improved ant colony algorithm, differential evolution chaos ant colony optimization (DEACO) algorithm, was proposed to plan an optimal collision-free path for mobile robot in 3-D environment. It utilized differential evolution algorithm to update pheromone and chaos disturbance factor was added when pheromone updates for possible stagnation phenomenon. So it enhances escaping capability of algorithm, avoids path-deadlock situations as well as improves the efficiency of planning optimal path. The simulation results indicated that the optimal path on which the robot moves can reach safely and can be rapidly obtained under 3-D space environment, the effect being very satisfactory.
收录类别EI ; CPCI(ISTP)
产权排序4
会议录2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL.3
会议录出版者IEEE Computer Society
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4244-5847-9
WOS记录号WOS:000289559200043
源URL[http://ir.sia.cn/handle/173321/20052]  
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,Gao XW,Liu JG,et al. Improved ant colony optimization algorithm and its application for path planning of mobile robot in 3-D space[C]. 见:2nd IEEE International Conference on Advanced Computer Control. Shenyang, China. March 27-29, 2010.

入库方式: OAI收割

来源:沈阳自动化研究所

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