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

This paper presents an efficient technique of designing twodimensional 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. Categories and Subject Descriptors J.2 --- Electronics, engineering; I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search --- Heuristic

• Type: Conference
• Year: 2005
• Where: GECCO
• Authors: Swagatam Das, Amit Konar, Uday Kumar Chakraborty
• Keywords: GECCO 2005, Particle Swarm, Particle Swarm Optimization, Particle Swarm Optimizer