path planner for unmanned aerial vehicles based on modified pso     algorithm

	path planner for unmanned aerial vehicles based on modified pso algorithm
	Zhu Hongguo; Zheng Changwen; Hu Xiaohui; Li Xiang
	2008
Conference Name	IEEE International Conference on Information and Automation
Source	Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008
Pages	541-544
Conference Date	JUN 20-23,
Conference Place	Changsha, PEOPLES R CHINA
Publish Place	345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher	2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4
ISBN	978-1-4244-2183-1
Department	Zhu Hongguo; Zheng Changwen; Hu Xiaohui Chinese Acad Sci, Natl Key Lab Integrated Informat Syst Technol, Inst Software, Beijing 100080, Peoples R China.
English Abstract	Most path planning algorithms existed have disadvantages in space representation, constraints handling or computation efficiency. Combining particle swarm optimization with path planning problem for unmanned aerial vehicles (UAVs), a new path
Keyword	Boolean Functions Evolutionary Algorithms Motion Planning Optimization Particle Swarm Optimization (Pso) Planning Problem Solving Unmanned Aerial Vehicles (Uav) Unmanned Vehicles
Sponsorship	IEEE Robot & Automat Soc, CHUK NUDT Joint Ctr Intelligent Sensing & Syst, Natl Univ Def Technol, Sch Elect Sci & Engn, Natl Sci Fdn China, CAS, Inst Intelligent Machines, IEEE Hong Kong Joint Chapter Robot & Automat & Control Syst, Natl Univ D
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/10764
Collection	天基综合信息系统全国重点实验室
Recommended Citation GB/T 7714	Zhu Hongguo,Zheng Changwen,Hu Xiaohui,et al. path planner for unmanned aerial vehicles based on modified pso algorithm[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4,2008:541-544.

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