A quantum-behaved particle swarm optimization with diversity-guided mutation for the design of two-dimensional IIR digital filters

Authors:
Jun Sun;Wei Fang;Wenbo Xu
Affiliations:
School of Information Technology, Jiangnan University, Wuxi, China;School of Information Technology, Jiangnan University, Wuxi, China;School of Information Technology, Jiangnan University, Wuxi, China
Venue:
IEEE Transactions on Circuits and Systems II: Express Briefs
Year:
2010

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Abstract

This brief proposes quantum-behaved particle swarm optimization with diversity-guided mutation (QPSO-DGM) to solve the problem of designing the optimal 2-D zero-phase IIR digital filters. The new method integrates a diversity control strategy into QPSO to guide the particle's search and thus improve the capabilities of exploration. Numerical results demonstrate that the design approach based on QPSO-DGM can obtain better digital IIR filters than the existing methods.