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

Karaboga N.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, cilt.346, sa.4, ss.328-348, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 346 Sayı: 4
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.jfranklin.2008.11.003
  • Dergi Adı: JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.328-348
  • Anahtar Kelimeler: Digital IIR filters, System identification, Swarm-based optimization, Artificial bee colony algorithm, OPTIMIZATION, FIR
  • Erciyes Üniversitesi Adresli: Evet

Özet

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.