Efficient design of fixed point digital FIR filters by using differential evolution algorithm


Karaboğa N. , Çetinkaya M. B.

COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS, vol.3512, pp.812-819, 2005 (Journal Indexed in SCI) identifier

  • Publication Type: Article / Article
  • Volume: 3512
  • Publication Date: 2005
  • Title of Journal : COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS
  • Page Numbers: pp.812-819

Abstract

Differential Evolution (DE) algorithm is a new heuristic approach which has been proposed particulary for numeric optimization problems. It is a population based algorithm like genetic algorithms using the similar operators; crossover, mutation and selection. In this work, DE algorithm has been applied to the design of fixed point digital Finite Impuls Response (FIR) filters and its performance has been compared to that of Genetic Algorithm (GA) and Least Squares Algorithm (LSQ).