Transition from particle swarm optimization to individual particle optimization

Proceedings of the IEEE International Conference on Control Applications

Volumn , Issue , 2009, Pages 1409-1414

  Salehizadeh, S M A ^a   Yadmellat, P ^a   Menhaj, M B ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM PERFORMANCE; BENCHMARK FUNCTIONS; CHAOTIC MAP; CONVERGENCE RATES; GLOBAL OPTIMUM; INDIVIDUAL PARTICLES; NUMERICAL RESULTS; OPTIMIZATION METHOD; OTHER ALGORITHMS; REAL-TIME IMPLEMENTATIONS; RUNTIMES;

ALGORITHMS; CHAOTIC SYSTEMS; CONVERGENCE OF NUMERICAL METHODS; NUMERICAL ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 74049152465     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCA.2009.5281016     Document Type: Conference Paper

References (39)

1. J. Kennedy, and R. Eberhart, "Particle Swarm Optimization", IEEE International Conference on Neural Networks, pp. 1942-1948, 1995.
2. R.C. Eberhart, J. Kennedy, A new optimizer using particle swarm theory, in: Proceedings of the Sixth International Symposium on Micro Machine and Human Science (MHS'95), Nagoya, Japan, 1995, pp. 39-43.
3. S. M. A. Salehizadeh, P.Yadmellat, A. R. Pourshoghi, M. J. Aein, "A hybrid algorithm for training recurtrent fuzzy neural network", In Proc: Artificial Intelligence and Pattern Recognition, 2008, pp.181-186.
4. C. F. Juang, "A hybrid of genetic algorithm and particle swarm optimization for recurrent network design," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 34, no. 2, pp. 997-1006, Apr. 2004.
5. H. Yoshida, K. Kawata, Y. Fukuyama, and Y. Nakanishi, "A particle swarm optimization for reactive power and voltage control considering voltage stability," in Proc. Int. Conf. Intell. Syst. Appl. Power Syst., Riode Janeiro, Brazil, 1999, pp. 117-121.
6. M. A. Abido, "Particle swarm optimization for multimachine power system stabilizer design," in Proc. Power Eng. Soc. Summer Meeting, 2001, pp. 1346-1351.
7. L. Messerschmidt and A. P. Engelbrecht, "Learning to play games using a PSO-based competitive learning approach," IEEE Trans. Evol. Comput., vol. 8, no. 3, pp. 280-288, Jun. 2004.
8. Y. Li and X. Chen, "Mobile robot navigation using particle swarm optimization and adaptive NN," in Proc. 1st Int. Conf. Nat. Comput., Changsha, China, Lecture Notes in Computer Science, vol. 3612. Berlin, Germany: Springer-Verlag, 2005, pp. 554-559.
9. P. J. Angeline, "Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences," in Proc. 7th Annu. Conf. Evol. Programming VII, 1998, pp. 601-610.
10. M. Clerc and J. Kennedy, "The particle swarm - Explosion, stability, and convergence in a multidimensional complex space," IEEE Trans. Evol. Comp., vol. 6, no. 1, pp. 58-73, Feb. 2002.
11. A. Stacey, M. Jancie, and I. Grundy, "Particle swarm optimization.
12. P. J. Angeline. Evolutionary optimization versus particle swarm optimization: Philosophy and p erformance difierences. Evolutionary Programming VII, pages 601-610, 1998.
13. A. Carlisle and G. Dozier. An ofi-the-shelf pso. Proceedings of the Particle Swarm Optimization Workshop, pages 1-6, April 2001.
14. P. Yadmellat, S.M.A. Salehizadeh, M.B. Menhaj, "Fuzzy Parameter Particle Swarm Optimization". In Proc: International Conference on Intelligent Networks and Intelligent Systems, Whuan, China, pp. 93-98, Nov. 2008.
15. A. Ratnaweera, S. Halgamuge, and H. Watson. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration co e-cients. In IEEE Transactions on Evolutionary Computation, volume 8, pages 240-255, 2004.
16. Jacques Riget and Jakob S. Vesterstom. A diversity-guided particle swarm optimizer - the ARPSO. Technical Report 2002-02, Department of Computer Science, University of Aarhus, 2002.
17. Thiemo Krink, Jakob S. Vestertroem, and Jacques Riget. Particle swarm optimisation with spatial particle extension. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2002), Honolulu, Hawaii, 2002.
18. Christopher K. Monson, Kevin D. Seppi, "Adaptive diversity in PSO,", Proceedings of the 8th annual conference on Genetic and evolutionary computation, Seattle, Washington, USA, SESSION: Ant colony optimization and swarm intelligence, Pages: 59 - 66, 2006.
19. Shi Y. Eberhart RC, "Parameter selection in particle swarm optimization", 1998 Annual Conference on Evolutionary Programming, San Diego, March 1998.
20. Shi Y. Eberhart RC, "Empirial, study of particle swarm optimization", 1999 Conference on Evolutionary Programming, Washington DC, USA, July 6-9.
21. Zheng Qin, Fan Yu, Zhewen Shi, Yu Wang, "Adaptive inertia weight particle swarm optimization", In Proc: ICAISC 2006, pp.450459.
22. Wang L, Zheng DZ, Lin QS, "Survey on chaotic optimization methods", Comput Technol Automat 2001;20:1-5.
23. X. Xie, W. Zang, and Z. Yang, "A dissipative swarm optimization," in Proc. IEEE Congr. Evol. Comp. (CEC), May 2002, pp. 1456-1461.
24. M. Iqbal, A. A. Freitas, and C. G. Johnson, E.-G. Talbi, Ed., "Varying the topology and the probability of re-initialization in dissipative particle swarm optimization," Evol. Artif., pp. 1-12, 2005.
25. B. Liu, L.Wang, and Y. H. Jin, "Improved particle swarm optimization combined with chaos," Chaos, Solitons Fractals, vol. 25, no. 5, pp.1261-1271, 2005.
26. B. Li and W. S. Jiang, "Optimizing complex functions by chaos search," Cybern. Syst., vol. 29, no. 4, pp. 409-419, 1998.
27. Y. Song, Z. Chen, and Z. Yuan, "New chaotic PSO-based neural network predictive control for nonlinear process," IEEE Transactions on Neural Networks, vol. 18, no. 2, pp. 595-601, 2007.
28. Srinivas Pasupuleti and Roberto Battiti, "The Gregarious Particle Swarm Optimizer (GPSO)", GECCO 2006.
29. K. Funahashi and Y. Nakamura, "Approximation of dynamical systems by continuous-time recurrent neural network," Neural Networks, vol. 6, pp. 801-806, 1993.
30. A. Stacey, M. Jancie, and I. Grundy, "Particle swarm optimization with mutation," in Proc. IEEE Congr. Evol. Comp. (CEC), 2003, pp. 1425-1430.
31. Y. Shi and R. C. Eberhart, "A modified particle swarm optimizer". Proc. of the IEEE Congress on Evolutionary Computation (CEC 1998), Piscataway, NJ, pp. 69-73, 1998.
32. Wang L. "Intelligent optimization algorithms with applications", Beijing: Tsinghua University & Springer Press; 2001.
33. J. J. Liang, P. N. Suganthan and K. Deb, "Novel Composition Test Functions for Numerical Global Optimization", In Proc: Swarm Intelligence Symposium, 2005 (SIS 2005), Proceedings 2005 IEEE, pp. 68-75, June 2005.
34. F. van den Bergh and A. P. Engelbrecht, "A cooperative approach to particle swarm optimization." IEEE Transactions on Evolutionary Computation, 8(3):225 - 239, June 2004.
35. J. J Liang, A. K. Qin, P. N. Suganthan, and S. Baskar, "Evaluation of Comprehensive Learning Particle Swarm Optimizer." Lecture Notes in Computer Science, Vol. 3316, pp. 230-235, 2004.
36. N. Hansen, S. D. Muller and P. Koumoutsakos, "Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)." Evolutionary Computation, 11(1):1-18, 2003.
37. K. Deb, A. Anand, and D. Joshi, "A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization," KanGAL Report No. 2002003, April 2002.
38. R. Storn, and K. Price, "Differential evolution-A simple and Efficient Heuristic for Global Optimization over Continuous Spaces." Journal of Global Optimization, 11:341-359, 1997.
39. Shi Y. Eberhart RC, "Empirical Fuzzy adaptive particle swarm optimization", Evolutionary Computation, 2001. Proceedings of the 2001 Congress, Volume 1, Issue, 2001, Page(s):101-106, vol.1.