An adaptive inertia weight particle swarm optimization algorithm for IIR digital filter

2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009

Volumn 1, Issue , 2009, Pages 114-118

  Yu, Xia ^a   Liu, Jianchang ^a   Li, Hongru ^a  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

Author keywords

Adaptive inertia weight; IIR digital filter; Particle swarm optimization; Versoria function

Indexed keywords

ADAPTIVE INERTIA; ENHANCED PERFORMANCE; EXPONENTIAL COMPUTATION; IIR DIGITAL FILTER; IIR DIGITAL FILTERS; MISADJUSTMENT; NOVEL ALGORITHM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO ALGORITHMS; SIGMOID FUNCTION; SIMULATION RESULT; SYSTEM IDENTIFICATIONS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EXPONENTIAL FUNCTIONS; IIR FILTERS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77949283128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICI.2009.28     Document Type: Conference Paper

References (10)

1. B. Widrow, and S.D. Stearns. Adaptive signal processing, Englewood Cliffs, NJ: Prentice-Hall, 1985.
2. S. Haykin. Adaptive filter theory, Upper Saddle River, NJ: Prentice-Hall, 2002.
3. N. Karaboga, I.A. Kalinl, and D. Karaboga. Designing digital IIR filters using ant colony optimization algorithm, Engineering Applications of Artificial Intelligence, 2004, pp. 301-309.
4. Z.R. Hou, and Z.S. Lu. Particle swarm optimization algorithm for IIR digital filters design, Journal of Circuits and Systems, vol. 8, no. 4, 2003, pp. 16-20.
5. D.J. Krusienski, and W.K. Jenkins. A modified particle swarm optimization algorithm for adaptive filtering, IEEE International Symposium on Circuits and Systems, Vol.1-11, 2006, pp. 137-140.
6. J. Kennedy, R.C. Eberhart, and Y. Shi. Swarm Intelligence, San Francisco: Morgan Kaufmann Publ, 2001.
7. B. Liu, L. Wang, and Jin. Improved particle swarm optimization combined with chaos, Chaos Solutions and Fractals, Vol. 25, no. 5, 2005, pp. 1261-1271.
8. M.M. Ali, and P. Kaelo. Improved particle swarm algorithms for global optimization, Applied Mathematics and Computation, Vol. 196, no. 2, 2008, pp. 578-593.
9. C. Dong, G.F. Wang, and Z.Y. Chen. The inertia weight self-adapting in PSO, Intelligent Control and Automation, WCICA 2008, 7th World Congress, 2008, pp. 5313-5316.
10. L.Yao, and W.A. Sethares. Nonlinear parameter estimation via the genetic algorithm, IEEE Transactions on Signal Processing, Vol.42, 1994, pp. 927-935.