DocumentCode :
2939821
Title :
Target Tracking Based on a New Adaptive Genetic Algorithm
Author :
Qingjun, Xia ; An, Zhang
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
Volume :
1
fYear :
2009
fDate :
12-14 Dec. 2009
Firstpage :
40
Lastpage :
43
Abstract :
The importance of image tracking system to TV guidance missile and the modes of target tracking were introduced firstly. Aiming at disadvantage of primal algorithm of template matching, genetic algorithm (GA) is applied to template matching. The GA adopts new encoded mode and defines new cross and mutation operator. In addition, the paper analyses the influence of crossover and mutation probability to GA. In order to get appropriate crossover probability and mutation probability, a new adaptive genetic algorithm (NAGA) is adopted. Simulation results prove that target tracking based on the NAGA can reduce computational load and enhance matching speed.
Keywords :
genetic algorithms; missile guidance; target tracking; TV guidance missile; adaptive genetic algorithm; cross mutation operator; crossover mutation probability; enhance matching speed; image tracking system; new encoded mode; reduce computational load; target tracking based; template matching; Algorithm design and analysis; Computational intelligence; Genetic algorithms; Genetic mutations; Image matching; Missiles; Optical control; Optical noise; TV; Target tracking; Cauchy-Schwarz inequality formula; NAGA; TV guidance missile; template matching mode;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
Type :
conf
DOI :
10.1109/ISCID.2009.17
Filename :
5370930
Link To Document :
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