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

Authors:
Nurhan Karaboğa;Bahadır Çetinkaya
Affiliations:
Department of Electronic Engineering, Erciyes University, Melikgazi, Kayseri, Turkey;Department of Electronic Engineering, Erciyes University, Melikgazi, Kayseri, Turkey
Venue:
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Year:
2005

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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).