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