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Improved ant colony optimization algorithm and its application for path planning of mobile robot in 3-D space
Zhao JP(赵娟平); Gao XW(高宪文); Liu JG(刘金刚); Fu XH(符秀辉)
作者部门机器人学研究室
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
会议录名称2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL.3
出版者IEEE Computer Society
出版地Piscataway, NJ, USA
2010
页码194-198
收录类别EI ; CPCI(ISTP)
EI收录号20104213306519
WOS记录号WOS:000289559200043
产权排序4
ISBN号978-1-4244-5847-9
关键词Mobile Robot Path Planning Ant Colony Optimization Algorithm Differential Evolution Chaos Sinulation
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.
语种英语
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被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/20052
专题机器人学研究室
通讯作者Zhao JP(赵娟平)
作者单位1.College Information Science and Engineering, Northeastern University, Shenyang, China
2.College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, China
3.Shenyang Xinghua Aero-Electric Appliances Company of Limited Liability, Shenyang, China
4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
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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]. Piscataway, NJ, USA:IEEE Computer Society,2010:194-198.
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