Design and optimization of IIR filter structure using hierarchical genetic algorithms

被引：76

作者：

Tang, KS ^{[1
]}

Man, KF ^{[1
]}

Kwong, S ^{[1
]}

Liu, ZF ^{[1
]}

机构：

[1] City Univ Hong Kong, Kowloon, Hong Kong

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 1998年 / 45卷 / 03期

关键词：

digital filters; genetic algorithms;

D O I：

10.1109/41.679006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：481 / 487

页数：7

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