Craziness based Particle Swarm Optimization algorithm for FIR band stop filter design

Swarm and Evolutionary Computation

Volumn 7, Issue , 2012, Pages 58-64

  Kar, Rajib ^a   Mandal, Durbadal ^a   Mondal, Sangeeta ^a   Ghoshal, Sakti Prasad ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

CLPSO; CRPSO; FIR band stop filter; Parks and McClellan (PM) Algorithm; PSO; RGA

Indexed keywords

BAND-STOP FILTERS; CLPSO; CRPSO; PSO; RGA;

FILTER BANKS; FIR FILTERS; FISH; HEURISTIC METHODS; IMPULSE RESPONSE; PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHMS;

EID: 84870378576     PISSN: 22106502     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.swevo.2012.05.002     Document Type: Article

References (37)

1. L. Litwin FIR and IIR digital filters IEEE Potentials 0278-6648 2000 28 31
2. T.W. Parks, and C.S. Burrus Digital Filter Design 1987 Wiley New York
3. T.W. Parks, and J.H. McClellan Chebyshev approximation for non recursive digital filters with linear phase IEEE Transactions on Circuits Theory CT-19 1972 189 194
4. J.H. McClellan, T.W. Parks, and L.R. Rabiner A computer program for designing optimum FIR linear phase digital filters IEEE Transactions on Audio and Electroacoustics AU-21 1973 506 526
5. L.R. Rabiner Approximate design relationships for low-pass FIR digital filters IEEE Transactions on Audio Electroacoustics AU-21 1973 456 460
6. Z. Lin An introduction to time-frequency signal analysis Sensor Review 17 1997 46 53
7. T. Ciloglu An efficient local search method guided by gradient information for discrete coefficient FIR filter design Signal Processing 82 10 2002 1337 1350
8. S.U. Ahmad, and A. Antoniou A genetic algorithm approach for fractional delay FIR filters IEEE International Symposium on Circuits and Systems, ISCAS 2006 2517 2520
9. N.E. Mastorakis, I.F. Gonos, and M.N.S. Swamy Design of two dimensional recursive filters using genetic algorithms IEEE Transaction on Circuits and Systems - I; Fundamental Theory and Applications 2003 634 639 50 2003 634 639
10. Lu Hung-Ching, and Tzeng Shian-Tang Design of arbitrary FIR log filters by genetic algorithm approach Signal Processing 80 2000 497 505
11. S.U. Ahmad, A. Andreas, Cascade-form multiplier less fir filter design using orthogonal genetic algorithm, in: IEEE International Symposium on Signal Processing and Information Technology, 2006, pp. 932-937.
12. W. Tang, T. Shen, Optimal design of FRM-based FIR filters by using hybrid Taguchi genetic algorithm, in: 2010 International Conference on Green Circuits and Systems (ICGCS-2010), 2010, pp. 392-397.
13. D. Karaboga, D.H. Horrocks, N. Karaboga, A. Kalinli, Designing digital FIR filters using Tabu search algorithm, IEEE International Symposium on Circuits and Systems, 1997, ISCAS '97, vol. 4, pp. 2236-2239.
14. S. Chen, IIR model identification using batch-recursive adaptive simulated annealing algorithm, in: 6th Annual Chinese Automation and Computer Science Conference, 2000, pp. 151-155.
15. N. Karaboga A new design method based on artificial bee colony algorithm for digital IIR filters Journal of the Franklin Institute 346 4 2009 328 348
16. N. Karaboga, and B. Cetinkaya1 Design of digital FIR filters using differential Evolution algorithm Circuits Systems Signal Processing 25 5 2006 649 660
17. G. Liu, Y.X. Li, G. He, Design of digital FIR filters using differential evolution algorithm based on reserved gene, in: IEEE Congress on Evolutionary Computation, July 2010, pp. 1-7.
18. H. Gao, M. Diao, Differential cultural algorithm for digital filters design, in: Second International Conference on Computer Modelling and Simulation, 2010, vol. 3, pp. 459-463.
19. M.Najjarzadeh, A. Ayatollahi, FIR digital filters design: particle swarm optimization utilizing LMS and minimax strategies, in: IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, pp. 129-132.
20. D.J. Krusienski, W.K. Jenkins, A modified particle swarm optimization algorithm for adaptive filtering, in: IEEE International Symposium on Circuits and Systems, ISCAS 2006, pp. 137-140.
21. J.I. Ababneh, and M.H. Bataineh Linear phase FIR filter design using particle swarm optimization and genetic algorithms Digital Signal Processing 18 4 2008 657 668
22. W. Fang, J. Sun, W. Xu, J. Liu, FIR digital filters design based on quantum-behaved particle swarm optimization, in: First International Conference on Innovative Computing, Information and Control, ICICIC '06, vol. 1, pp. 615-619.
23. B. Luitel, and G.K. Venayagamoorthy Particle swarm optimization with quantum infusion for system identification Engineering Applications of Artificial Intelligence 23 5 2010 635 649
24. A. Sarangi, R.K. Mahapatra, and S.P. Panigrahi DEPSO and PSO-QI in digital filter design Expert Systems with Applications 38 9 2011 10966 10973
25. X. Yu, J. Liu, H. Li, An adaptive inertia weight particle swarm optimization algorithm for IIR digital filter in: International Conference on Artificial Intelligence and Computational Intelligence, 2009, AICI '09, vol. 1, pp. 114-118.
26. D. Jia, Y. Jiao, J. Zhang, Satisfactory design of IIR digital filter based on chaotic mutation particle swarm optimization, in: 3rd International Conference on Genetic and Evolutionary Computing, 2009, WGEC '09, pp. 48-51.
27. Y. Gao, Y. Li, H.Qian, The design of IIR digital filter based on chaos particle swarm optimization algorithm, in: Second International Conference on Genetic and Evolutionary Computing, 2008, WGEC '08, pp. 303-306.
28. Z.F. Hao, G.H. Guo, H. Huang, A particle swarm optimization algorithm with differential evolution, in: International Conference on Machine Learning and Cybernetics, 2007, vol. 2, pp. 1031-1035.
29. B. Luitel, G.K. Venayagamoorthy, Differential evolution particle swarm optimization for digital filter design, in: IEEE World Congress on Computational Intelligence (IEEE Congress on Evolutionary Computation), CEC 2008, pp. 3954-3961.
30. J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proceedings of the IEEE International Conference on Neural Network, 1995, pp. 1942-1948.
31. R.C. Eberhart, Y.Shi, Particle swarm optimization: developments, applications and resources, evolutionary computation, in: Proceedings of the 2001 Congress on Evolutionary Computation, 2001, pp. 81-86.
32. S.H. Ling, H.H.C. Iu, F.H.F. Leung, and K.Y. Chan Improved hybrid particle swarm optimized wavelet neural network for modeling the development of fluid dispensing for electronic packaging, IEEE Transactions on Industrial Electronics 55 9 2008 3447 3460
33. B. Biswal, P.K. Dash, and B.K. Panigrahi Power quality disturbance classification using fuzzy C-means algorithm and adaptive particle swarm optimization IEEE Transactions on Industrial Electronics 56 no. 1 Jan. 2009 212 220
34. D. Mandal, S.P. Ghoshal, and A.K. Bhattacharjee Radiation pattern optimization for concentric circular antenna array with central element feeding using Craziness based Particle Swarm Optimization International Journal of RF and Microwave Computer-Aided Engineering 20 5 Sept. 2010 577 586
35. D. Mandal, S.P. Ghoshal, and A.K. Bhattacharjee Application of evolutionary optimization techniques for finding the optimal set of concentric circular antenna array Expert Systems with Applications 38 2010 2942 2950
36. J.J. Liang, A.K. Qin, P.N. Suganthan, and S. Baskar Comprehensive Learning particle swarm optimizer for global optimization of multimodal functions IEEE Transactions on Evolutionary Computation 10 3 2006 281 295
37. J. Derrac, S. García, D. Molina, and F. Herrera A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms Swarm and Evolutionary Computation 1 1 2011 3 18