Design and optimization of IIR filter structure using hierarchicalgenetic algorithms
Kit-Sang Tang
Kim-Fung Man
Sam Kwong
Zhi-Feng Liu
City Univ. of Hong Kong, Kowloon;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Jun 1998
Volume: 45,
Issue: 3
On page(s): 481-487
ISSN: 0278-0046
References Cited: 15
CODEN: ITIED6
INSPEC Accession Number: 5933772
Digital Object Identifier: 10.1109/41.679006
Current Version Published: 2002-08-06
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
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