A new design method based on artificial bee colony algorithm for digital IIR filters

被引：455

作者：

Karaboga, Nurhan ^{[1
]}

机构：

[1] Erciyes Univ, Fac Engn, Dept Elect Elect Engn, TR-38039 Kayseri, Turkey

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2009年 / 346卷 / 04期

关键词：

Digital IIR filters; System identification; Swarm-based optimization; Artificial bee colony algorithm; OPTIMIZATION; FIR;

D O I：

10.1016/j.jfranklin.2008.11.003

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Digital filters can be broadly classified into two groups: recursive (infinite impulse response (IIR)) and non-recursive (finite impulse response (FIR)). An IIR filter can provide a much better performance than the FIR filter having the same number of coefficients. However, IIR filters might have a multi-modal error surface. Therefore, a reliable design method proposed for IIR filters must be based on a global search procedure. Artificial bee colony (ABC) algorithm has been recently introduced for global optimization. The ABC algorithm simulating the intelligent foraging behaviour of honey bee swarm is a simple, robust, and very flexible algorithm. In this work, a new method based on ABC algorithm for designing digital IIR filters is described and its performance is compared with that of a conventional optimization algorithm (LSQ-nonlin) and particle swarm optimization (PSO) algorithm. (c) 2009 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：328 / 348

页数：21

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