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