DocumentCode :
2505642
Title :
Hybrid genetic algorithm based on mutative scale chaos optimization dynamic modeling method for accelerometer
Author :
Ling, Rui ; Yi, Chai ; Li, Nan
Author_Institution :
Dept. of Autom., Univ. of Chongqing, Chongqing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
6512
Lastpage :
6515
Abstract :
Mutative scale chaos optimization method is used in the dynamic modeling of accelerometer. Genetic algorithm is used to research the optimized solution in global space, and induce the mutative scale chaos optimization method, which is used to carry on a local search in a small scale, enhances the search ability in local space. The simulation result indicates that the dynamic model for accelerometer by the method has a high precision.
Keywords :
accelerometers; chaos; genetic algorithms; accelerometer; hybrid genetic algorithm; mutative scale chaos optimization dynamic modeling method; Accelerometers; Automation; Chaos; Genetic algorithms; Mathematical model; Micromechanical devices; Neural networks; Optimization methods; Space technology; Vehicle dynamics; accelerometer; dynamic modeling; genetic algorithm; mutative scale;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594568
Filename :
4594568
Link To Document :
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