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	Application of a new hybrid intelligent computation method in path planning of UCAV
	Wang Guo-dong ; Li Ming ; Deng Zhi-dong
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical/ aerospace robotics evolutionary computation military aircraft mobile robots path planning probability remotely operated vehicles simulated annealing/ hybrid intelligent computation method offline global path planning UCAV flight mission planning unmanned combat air vehicle reconnaissance task threat deployment target distribution fuel consumption reduction mission success probability evolutionary algorithm simulated annealing elitism strategy defense area/ C3375 Military control systems C3120C Spatial variables control C3390C Mobile robots C1180 Optimisation techniques C1140Z Other topics in statistics C3360L Aerospace control
中文摘要	While Unmanned Combating Air Vehicle (UCAV) carries out attack or reconnaissance tasks against ground targets, the off-line global path planning, based on threat deployment and target distribution in the defense areas of enemies, can minimize the possibility of being detected by enemies and also reduce the fuel consumption entirely. As a result, the success probability of mission can be expected to be greatly increased. On the basis of analysis on Evolutionary Algorithm (EA), a new EA for solving this problem is presented in this paper, in which both the strategies of elitism and simulated annealing are introduced in order to keep balance between speed-up of convergence and avoiding of premature of EA. The modified method is applied to UCAV path planning. The experimental results demonstrate that this hybrid computational intelligence method, which is simple and effective, and superior to that of traditional EAs. The planned path can meet the demands of UCAV flight mission planning.
语种	中文
出版者	Editorial Board of Fire Control and Command Control ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82221]
专题	清华大学
推荐引用方式 GB/T 7714	Wang Guo-dong,Li Ming,Deng Zhi-dong. Application of a new hybrid intelligent computation method in path planning of UCAV[J],2010, 2010.
APA	Wang Guo-dong,Li Ming,&Deng Zhi-dong.(2010).Application of a new hybrid intelligent computation method in path planning of UCAV..
MLA	Wang Guo-dong,et al."Application of a new hybrid intelligent computation method in path planning of UCAV".(2010).

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