A swarm intelligence approach to the synthesis of two-dimensional IIR filters

Engineering Applications of Artificial Intelligence

Volumn 20, Issue 8, 2007, Pages 1086-1096

  Das, Swagatam ^a   Konar, Amit ^a  

^a JADAVPUR UNIVERSITY   (India)

Author keywords

Differential evolution; Genetic algorithms; IIR filters; Particle swarm optimization; Swarm intelligence

Indexed keywords

GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; NUMERICAL METHODS; OPTIMIZATION; PROBLEM SOLVING;

HUMAN SOCIAL BEHAVIORS; NUMERICAL RESULTS; OPTIMIZATION TECHNIQUES; PARTICLE SWARM OPTIMIZATION (PSO); SWARM INTELLIGENCE;

IIR FILTERS;

EID: 35548998376     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2007.02.004     Document Type: Article

References (29)

1. Chellapilla, K., Fogel, D.B., Rao, S.S., 1996. Optimizing IIR filters using evolutionary programming. In: Proceedings of the Adaptive Distributed Parallel Computing Symposium, Dayton, OH, pp. 252-258.
2. Clerc M., and Kennedy J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6 1 (2002) 58-73
3. Daniel M., and Willsky A. Efficient implementations of 2-D non-causal IIR filters. IEEE Transactions on Circuits and Systems II 44 7 (1997) 549-563
4. Das, S., Abraham, A., Konar, A., 2006. Spatial information based image segmentation using a modified particle swarm optimization algorithm. In: Sixth International Conference on Intelligent Systems Design and Applications, ISDA'06. IEEE CS Press.
5. Deb K. An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering 186 2-4 (2000) 311-338
6. Deb K., Anand A., and Joshi D. A computationally efficient evolutionary algorithm for real-parameter optimization. Evolutionary Computation 10 4 (2002) 371-395
7. Deb K., Pratap A., Agarwal S., and Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6 2 (2002)
8. Eberhart R.C., and Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization. Proceedings of IEEE International Congress on Evolutionary Computation 1 (2000) 84-88
9. Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning (1989), Addison-Wesley, Reading, MA
10. Gonzales R.C., and Woods R.E. Digital Image Processing. third ed (1992), Addison-Wesley, Reading, MA
11. Gorne, T., Schneider, M., 1993. Design of digital filters with evolutionary algorithms. International Conference on Artificial Neural Networks and Genetic Algorithms Ref. No. 155-1, pp. 1-7.
12. Hsieh C.-H., Kuo C.-M., Jou Y.-D., and Han Y.-L. Design of two dimensional FIR digital filters by a two-dimensional WLS technique. IEEE Transactions on Circuits and Systems II 44 5 (1997) 348-412
13. Kaczorek T. Two-Dimensional Linear Systems (1985), Springer, Berlin, Germany
14. Kalinli N., and Karaboga N. Artificial immune algorithm for IIR filter design. Engineering Applications of Artificial Intelligence 18 8 (2005) 919-929
15. Kennedy, J., 1999. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. In: Proceedings of the 1999 Congress of Evolutionary Computation, vol. 3. IEEE Press, New York, pp. 1931-1938.
16. Kennedy, J., Eberhart, R., 1995. Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, pp. 1942-1948.
17. Kennedy, J., Eberhart, R.C., 2001. Swarm Intelligence. Academic Press, New York, ISBN 1-55860-595-9.
18. Laasko T., and Ovaska S. Design and implementation of efficient IIR notch filters with quantization error feedback. IEEE Transactions on Instrumentation and Measurement 43 3 (1994) 449-456
19. Lu W.S., and Antoniou A. Two-Dimensional Digital Filters (1992), Marcel Dekker, New York
20. Mastorakis N., Gonos F.I., and Swamy M.N.S. Design of two-dimensional recursive filters using genetic algorithms. IEEE Transactions on Circuits and Systems 50 (2003) 634-639
21. Mladenov V., and Mastorakis N. Design of two-dimensional recursive filters by using neural networks. IEEE Transactions on Neural Networks 12 (2001) 585-590
22. Oppenheim A.V., Schafer R.W., and Buck J.R. Discrete-Time Signal Processing (1999), Prentice-Hall, Englewood Cliffs, NJ
23. Proakis J.G., and Manolakis D.G. Digital Signal Processing (1996), Prentice-Hall, Englewood Cliffs, NJ
24. Schnier T., Yao X., and Liu P. Digital filter design using multiple Pareto fonts. Soft Computing 8 5 (2004) 332-343
25. Seppänen, J., 1999. Audio Signal Processing Basics, Introductory Lectures, Audio Research Group, Tampere University of Technology, Web Resource 〈http://www.cs.tut.fi/sgn/arg/intro/basics.html〉.
26. Shi, Y., Eberhart, R.C., 1998. A modified Particle Swarm Optimiser. IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, May 4-9.
27. Storn R., and Price K. Differential evolution-a simple and efficient heuristic for global continuous spaces. Journal of Global Optimization 11 4 (1997) 341-359
28. In: Tzafestas S.G. (Ed). Multidimensional Systems, Techniques and Applications (1986), Marcel Dekker, New York
29. van den Bergh, F., Engelbrecht, P.A., 2001. Effects of swarm size on cooperative particle swarm optimizers. In: Proceedings of GECCO-2001. San Francisco, CA, pp. 892-899.