In this paper, particle swarm optimization with quantum infusion (PSO-QI) has been applied for the design of digital filters. In PSO-QI, Global best (gbest) particle (in PSO star topology) obtained from particle swarm optimization is enhanced by doing a tournament with an offspring produced by quantum behaved PSO, and selecting the winner as the new gbest. Filters are designed based on the best approximation to the ideal response by minimizing the maximum ripples in passband and stopband of the filter response. PSO-QI, as is shown in the paper, converges to a better fitness. This new algorithm is implemented in the design of finite impulse response (FIR) and infinite impulse response (IIR) filter.
B. Luitel and G. K. Venayagamoorthy, "Particle Swarm Optimization with Quantum Infusion for the Design of Digital Filters," Proceedings of the 2008 IEEE Swarm Intelligence Symposium (2008, St. Louis, MO), Institute of Electrical and Electronics Engineers (IEEE), Sep 2008.
The definitive version is available at https://doi.org/10.1109/SIS.2008.4668316
2008 IEEE Swarm Intelligence Symposium (2008, St. Louis, MO)
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
FIR Filters; IIR Filters; Network Synthesis; Particle Swarm Optimisation
Article - Conference proceedings
© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Sep 2008