Title :
Particle Swarm Optimization with Quantum Infusion for the design of digital filters
Author :
Luitel, Bipul ; Venayagamoorthy, Ganesh Kumar
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO
Abstract :
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.
Keywords :
FIR filters; IIR filters; network synthesis; particle swarm optimisation; IIR filter; PSO-QI; digital filters design; filter response; infinite impulse response filter; particle swarm optimization; quantum infusion; Algorithm design and analysis; Band pass filters; Chebyshev approximation; Digital filters; Finite impulse response filter; Frequency; IIR filters; Particle swarm optimization; Passband; Signal processing algorithms;
Conference_Titel :
Swarm Intelligence Symposium, 2008. SIS 2008. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-2704-8
Electronic_ISBN :
978-1-4244-2705-5
DOI :
10.1109/SIS.2008.4668316
