An empirical study on the settings of control coefficients in particle swarm optimization

2006 IEEE Congress on Evolutionary Computation, CEC 2006

Volumn , Issue , 2006, Pages 823-830

  Kwok, N M ^a   Liu, D K ^a   Tan, K C ^b   Ha, Q P ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL THEORY; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; GLOBAL OPTIMIZATION; NUMERICAL METHODS; PROBLEM SOLVING;

CONTROL COEFFICIENTS; RANDOM MOMENTUM;

RANDOM PROCESSES;

EID: 34547247582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. J. Kennedy and R. Eberhart, "Particle swarm optimization," Proc. IEEE Intl. Conf. on Neural Networks, Perth, Australia, Nov. 1995, pp. 1942-1948.
2. T. Ray and K. M. Liew, "Society and civilization: an optimization algorithm based on the simulation of social behavior," IEEE Trans. on Evolutionary Computation, vol. 7, no. 4, Aug. 2003, pp. 386-396.
3. R. Salomon, "Evolutionary algorithms and gradient search: similarities and differences," IEEE Trans. on Evolutionary Computation, vol. 2, no. 2, Jul. 1998, pp. 45-55.
4. S. L. Cheng and C. Hwang, "Optimal approximation of linear systems by a differential evolution algorithm," IEEE Trans. on Systems, Man, and Cybernetics ?Pt. A: Systems and Humans, vol. 31, no. 6, Nov. 2001, pp. 698-707.
5. N. Krasnogor and J. Smith, "A tutorial for competent memetic algorithms: model, taxonomy and design issues," IEEE Trans. on Evolutionary Computation, vol. 9, no. 3, Oct. 2005, pp. 474-488.
6. G. Ciuprina, D. loan and I. Munteanu, "Use of intelligent-particle swarm, optimization in electromagnetics," IEEE Trans. on Magnetics, vol. 38, no. 2, Mar. 2002, pp. 1037-1040.
7. G. Venter and J. S. Sobieski, "Particle swarm optimization," Proc. 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Material Conf., Denver, Colorado, Apr. 2002, AIAA 2002-1235.
8. Y. Zheng, L. Ma, L. Zhang and J. Qian, "Robust PID controller design using particle swarm, optimizer," Proc. 2003 IEEE Intl. Symposium on Intelligent Control, Houston, Texas, Oct. 2003, pp. 974-979.
9. S. Naka, T. Genji, T. Yura and Y. Fukuyama, "A hybrid particle swarm optimization for distributed state estimation," IEEE Trans. on Power Systems, vol. 18, no. 1, Feb. 2003, pp. 60-68.
10. D. W. Boeringer and D. H. Werner, "Particle swarm optimization versus genetic algorithms for phased array synthesis," IEEE Trans. on Antennas and Propagation, vol. 52, no. 3, Mar. 2004, pp. 771-779.
11. H. Zhang, X. Li, H. Li and F. Huang, "Particle swarm optimization-based schemes for resource-constrained project scheduling," Automation in Constructions, vol. 14, 2005, pp. 393-404.
12. S. L. Ho, S. Yang, G. Ni, E. W. C. Lo and H. C. Wong, "A particle swarm optimization-based method for multiobjective design optimizations," IEEE Trans. on Magnetics, vol. 41, no. 5, May 2005, pp. 1756-1759.
13. E. Ozcan and C. K. Mohan, "Particle swarm optimization: surfing the waves," Proc. 1999 Congress on Evolutionary Computation, Washington, DC, Jul. 1999, pp. 1939-1944.
14. M. Clerc and J. Kennedy, "The particle swarm - explosion, stability, and convergence in multidimensional complex space," IEEE Trans. on Evolutionary Computation, vol. 6, no. 1, Feb. 2002, pp. 58-73.
15. I. C. Trelea, "The particle swarm, optimization algorithm: convergence analysis and parameter selection," Information Processing Letters, vol. 85, 2003, pp. 317-325.
16. R. Mendes, J. Kennedy and J. Neves, "The fully informed particle swarm: simpler, maybe better," IEEE Trans. on Evolutionary Computation, vol. 8, no. 3, Jun. 2004, pp. 204-210.
17. K. E. Parsopoulos, V. P. Plagianakos, G. D. Magoulas and M. N. Vrahatis, "Objective function stretching to alleviate convergence to local minima," Nonlinear Analysis, vol. 47, 2001, pp. 3419-3424.
18. P. J. Angelinie, "Using selection to improve particle swarm optimization," Proc. 1998 IEEE Intl. Conf. on Evolutionary Computation, Anchorage, Alaska, May 1998, pp. 84-89.
19. M. Lovbjerg, T. K. Rasmussen and T. Krink, "Hybrid particle swarm optimiser with breeding and subpopulations," Proc. Genetic and Evolutionary Computation Conf. 2001, San Francisco, California, Jul. 2001, pp. 469-476.
20. T. Huang and A. Sanagavarapu, "A hybrid boundary condition for robust particle swarm, optimization," IEEE Antennas and Wireless Propagation Letters, vol. 4, 2005, pp. 112-117.
21. H. Fan, "A modification to particle swarm, optimization algorithm," Engineering Computations, vol. 19, no. 8, 2002, pp. 970-989.
22. K. Yasuda, A. Ide and N. Iwasaki, "Adaptive particle swarm, optimization," Proc. 2003 IEEE Intl. Conf. on Systems, Man and cybernetics, Washington, DC, Oct. 2003, pp. 1554-1559.
23. Y. Shi and R. Eberhart, "A modified particle swarm optimizer," Proc. 1998 IEEE Intl. Conf. on Evolutionary Computation, Anchorage, Alaska, May 1998, pp. 69-73.
24. J. Xu and Z. Xin, "An extended particle swarm optimizer," Proc. 19th IEEE Intl. Parallel and Distributed Processing Symposium, Apr. 2005, pp. 193-197.
25. A. Rodriguez and J. A. Reggia, "Extending self-organizing particle systems to problem solving," Artificial Life, vol. 10, 2004, pp. 379-395.
26. Z. Gajic and M. Lelic, Modern Control Systems Engineering, London: Prentice Hall, 1996.