DocumentCode :
1384585
Title :
Design and optimization of IIR filter structure using hierarchical genetic algorithms
Author :
Tang, Kit-Sang ; Man, Kim-Fung ; Kwong, Sam ; Liu, Zhi-Feng
Author_Institution :
City Univ. of Hong Kong, Kowloon, Hong Kong
Volume :
45
Issue :
3
fYear :
1998
fDate :
6/1/1998 12:00:00 AM
Firstpage :
481
Lastpage :
487
Abstract :
A new genetic algorithm (GA) is proposed for digital filter design. This scheme utilizes a new hierarchical multilayer gene structure for the chromosome formulation. This is a unique structure, which retains the conventional genetic operations, while the genes may take various forms to represent the system characteristics. As a result, both the system structure and the parametric variables can be optimized in a simultaneous manner, without extra computational cost and effort. It has been demonstrated that this technique not only fulfils all types of filter performance requirements, but that the lowest order of the filter can also be found
Keywords :
IIR filters; digital filters; genetic algorithms; IIR filter structure; chromosome formulation; digital filter design; hierarchical genetic algorithms; hierarchical multilayer gene structure; optimization; parametric variables; performance requirements; system structure; Algorithm design and analysis; Band pass filters; Biological cells; Chebyshev approximation; Design optimization; Digital filters; Filtering; Genetic algorithms; IIR filters; Nonhomogeneous media;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/41.679006
Filename :
679006
Link To Document :
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