Step-optimized Particle Swarm Optimization

2012 IEEE Congress on Evolutionary Computation, CEC 2012

Volumn , Issue , 2012, Pages

  Schoene, Thomas ^a   Ludwig, Simone A ^b   Spiteri, Raymond J ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

^b NORTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE PSO; BENCH-MARK PROBLEMS; GUARANTEED CONVERGENCE; OPTIMIZATION PROBLEMS; OPTIMIZATION PROCESS; TIME-VARYING ACCELERATION COEFFICIENTS;

ALGORITHMS; BENCHMARKING; ITERATIVE METHODS; VELOCITY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84866866053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2012.6256423     Document Type: Conference Paper

References (22)

1. X. Cai, Z. Cui, J. Zeng, and Y. Tan. Self-learning particle swarm optimization based on environmental feedback. Innovative Computing, Information and Control, 2007. ICICIC '07, page 570, 2007.
2. M. Clerc. Semi-continuous challenge, http://clerc.maurice.free.fr/pso/ semi-continuous-challenge/, April 2004.
3. A. Engelbrecht. Computational Intelligence - An Introduction 2nd Edition. Wiley, 2007.
4. A. Ide and K. Yasuda. A basic study of adaptive particle swarm optimization. Denki Gakkai Ronbunshi / Electrical Engineering in Japan, 151(3):41-49, 2005.
5. J. Kennedy and R. Eberhart. Particle swarm optimization. Proceedings, IEEE International Conference on Neural Networks, 4:1942-1948, 1995.
6. X. Li, H. Fu, and C. Zhang. A self-adaptive particle swarm optimization algorithm. CSSE '08: Proceedings of the 2008 International Conference on Computer Science and Software Engineering, pages 186-189, 2008.
7. H. Liu. Fuzzy adaptive turbulent particle swarm optimization. Proceedings IEEE Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005.
8. M. Meissner, M. Schmuker, and G. Schneider. Optimized particle swarm optimization (OPSO) and its application to artificial neural network training. BMC Bioinformatics, 7(1):125, 2006.
9. M. Molga and C. Smutnicki. Test functions for optimization needs, http://zsd.iiar.pwr.wroc.pl/, 2005.
10. R. Poli, J. Kennedy, and T. Blackwell. Particle swarm optimization. Swarm Intelligence, 1:33-57, 2007.
11. A. Ratnaweera, S.K. Halgamuge, and H.C. Watson. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Transaction on Evolutionary Computation, 8(3):240-255, 2004.
12. Y. Shi and R. Eberhart. A modified particle swarm optimizer. Proceedings of the IEEE World Congress on Computation Intelligence, pages 69-73, 1998.
13. J. Tang and X. Zhao. Particle swarm optimization with adaptive mutation. 2009 WASE International Conference on Information Engineering (ICIE), 2:234-237, 2009.
14. F. Van den Bergh and A.P. Engelbrecht. A new locally convergent particle swarm optimiser. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 3:94-99, 2002.
15. C. K. Monson, K. D. Seppi. Exposing Origin-Seeking Bias in PSO. Proceedings of GECCO'05, pp. 241-248, 2005.
16. Kumar, Nagesh D and Reddy, Janga M Multipurpose Reservoir Operation Using Particle Swarm Optimization. Journal of Water Resources Planning and Management, 133 (3). pp. 192-201.
17. D. Wong. Fortran data types and specification statements, http://wwwclasses. usc.edu/engr/ce/108/text/fbk01.htm, 2011.
18. T. Yamaguchi, N. Iwasaki, and K. Yasuda. Adaptive particle swarm optimization using information about global best. IEEE Transactions on Electronics, Information and Systems, 126:270-276, 2006.
19. X. Yang, J. Yuan, J. Yuan, and H. Mao. A modified particle swarm optimizer with dynamic adaptation. Applied Mathematics and Computation, 189(2):1205-1213, 2007.
20. K. Yasuda, K. Yazawa, and M. Motoki. Particle swarm optimization with parameter self-adjusting mechanism. IEEE Transactions on Electrical and Electronic Engineering, 5(2):256-257, 2010.
21. Z.H. Zhan, J. Zhang, Y. Li, and H.S.H. Chung. Adaptive particle swarm optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 39(6):1362-1381, 2009.
22. J. Zhu, J. Zhao, and X. Li. A new adaptive particle swarm optimization algorithm. International Workshop on Modelling, Simulation and Optimization, pages 456-458, 2008.