An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters

Authors:
Swagatam Das;Amit Konar;Uday K. Chakraborty
Affiliations:
Jadavpur University, Kolkata, India;Jadavpur University, Kolkata, India;University of Missouri, St. Louis, MO
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

Citing 5
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Abstract

This paper presents an efficient technique of designing two-dimensional IIR digital filters using a new algorithm involving the tightly coupled synergism of particle swarm optimization and differential evolution. The design task is reformulated as a constrained minimization problem and is solved by our newly developed PSO-DV (Particle Swarm Optimizer with Differentially perturbed Velocity) algorithm. Numerical results are presented. The paper also demonstrates the superiority of the proposed design method by comparing it with two recently published filter design methods.