A Quantum-Behaved Particle Swarm Optimization With Diversity-Guided Mutation for the Design of Two-Dimensional IIR Digital Filters

作者：Sun, Jun^*; Fang, Wei; Xu, Wenbo

来源：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2010, 57(2): 141-145.

DOI：10.1109/TCSII.2009.2038514

• Digital IIR filters
• heuristics
• multidimensional digital filters
• particle swarm optimization (PSO)

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.

• 出版日期2010-2
• 单位江南大学