Design and optimization of IIR filter structure using hierarchical genetic algorithms

Kit-Sang TANG; Kim-Fung MAN; Sam KWONG; Zhi-Feng LIU

doi:10.1109/41.679006

Design and optimization of IIR filter structure using hierarchical genetic algorithms

Kit-Sang TANG, Kim-Fung MAN, Sam KWONG, Zhi-Feng LIU

Research output: Journal Publications › Journal Article (refereed) › peer-review

114 Citations (Scopus)

Abstract

A new genetic algorithm (GA) is proposed for digital filtering 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 fulfills all types of filter performance requirements, but that the lowest order of the filter can also be found. © 1998 IEEE.

Original language	English
Pages (from-to)	481-487
Journal	IEEE Transactions on Industrial Electronics
Volume	45
Issue number	3
DOIs	https://doi.org/10.1109/41.679006
Publication status	Published - 1998
Externally published	Yes

Keywords

Digital filters
Genetic algorithms

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10.1109/41.679006

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abstract = "A new genetic algorithm (GA) is proposed for digital filtering 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 fulfills all types of filter performance requirements, but that the lowest order of the filter can also be found. {\textcopyright} 1998 IEEE.",

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AU - KWONG, Sam

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AB - A new genetic algorithm (GA) is proposed for digital filtering 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 fulfills all types of filter performance requirements, but that the lowest order of the filter can also be found. © 1998 IEEE.

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KW - Genetic algorithms

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EP - 487

JO - IEEE Transactions on Industrial Electronics

JF - IEEE Transactions on Industrial Electronics

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ER -

Design and optimization of IIR filter structure using hierarchical genetic algorithms

Abstract

Keywords

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