A Quantum-Behaved Particle Swarm Optimization With Diversity-Guided Mutation for the Design of Two-Dimensional IIR Digital Filters
Jun Sun, Wei Hua Fang, Wenbo Xu · IEEE Transactions on Circuits & Systems II Express Briefs · 2010
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.