Design of digital FIR filters using differential evolution algorithm

Karaboga N., Cetinkaya B.

CIRCUITS SYSTEMS AND SIGNAL PROCESSING, vol.25, no.5, pp.649-660, 2006 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 5
  • Publication Date: 2006
  • Doi Number: 10.1007/s00034-005-0721-7
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.649-660
  • Keywords: FIR filter design, differential evolution algorithm, genetic algorithm
  • Erciyes University Affiliated: Yes


The differential evolution (DE) algorithm is a new heuristic approach with three main advantages: it finds the true global minimum of a multimodal search space regardless of the initial parameter values, it has fast convergence, and it uses only a few control parameters. The DE algorithm, which has been proposed particularly for numeric optimization problems, is a population-based algorithm like the genetic algorithms and uses similar operators: crossover, mutation, and selection. In this work, the DE algorithm has been applied to the design of digital finite impulse response filters, and its performance has been compared to that of the genetic algorithm and least squares method.