Title | ||
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An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters |
Abstract | ||
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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. |
Year | DOI | Venue |
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2005 | 10.1145/1068009.1068364 | GECCO |
Keywords | Field | DocType |
particle swarm optimization,efficient technique,minimization problem,particle swarm optimizer,filter design method,numerical result,new algorithm,proposed design method,differential evolution,two-dimensional iir filter,efficient evolutionary algorithm,design task,iir filter,evolutionary algorithm,genetic algorithm,design method,digital filter,filter design | Particle swarm optimization,Mathematical optimization,Evolutionary algorithm,Computer science,Infinite impulse response,Meta-optimization,Differential evolution,Multi-swarm optimization,Genetic algorithm,Filter design | Conference |
ISBN | Citations | PageRank |
1-59593-010-8 | 6 | 0.69 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Swagatam Das | 1 | 6026 | 276.66 |
Amit Konar | 2 | 1859 | 140.38 |
Uday K. Chakraborty | 3 | 873 | 44.61 |