Efficient population utilization strategy for particle swarm optimizer

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 39, Issue 2, 2009, Pages 444-456

  Hsieh, Sheng Ta ^a,b   Sun, Tsung Ying ^a   Liu, Chan Cheng ^a   Tsai, Shang Jeng ^a  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

^b ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Particle swarm optimization (PSO); Population manager; Searching range sharing (SRS); Solution sharing

Indexed keywords

BENCH-MARK PROBLEMS; GLOBAL OPTIMAL SOLUTIONS; LOCAL MINIMUMS; MULTI MODALS; PARTICLE SWARM OPTIMIZER; POPULATION MANAGER; POPULATION-BASED OPTIMIZATIONS; PSO ALGORITHMS; RASTRIGIN; SEARCHING ABILITIES; SEARCHING RANGE SHARING (SRS); TEST FUNCTIONS; UNIMODAL; UTILIZATION STRATEGIES;

INTERACTIVE COMPUTER SYSTEMS; MANAGERS; STIMULATED RAMAN SCATTERING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 64049115867     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.2006628     Document Type: Article

References (20)

1. R. C. Eberhart and J. Kennedy, "A new optimizer using particle swarm theory," in Proc. 6th Int. Symp. Micro Mach. Human Sci., Nagoya, Japan, 1995, pp. 39-43.
2. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 1989.
3. F. van den Bergh and A. P. Engelbrecht, "A cooperative approach to particle swarm optimization," IEEE Trans. Evol. Comput., vol. 8, no. 3, pp. 225-239, Jun. 2004.
4. J. J. Liang, A. K. Qin, P. N. Suganthan, and S. Baskar, "Comprehensive learning particle swarm optimizer for global optimization of multimodal functions," IEEE Trans. Evol. Comput., vol. 10, no. 3, pp. 281-296, Jun. 2006.
5. V. G. Gudise and G. K. Venayagamoorthy, "Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks," in Proc. IEEE Swarm Intell. Symp., Apr. 2003, pp. 110-117.
6. Y. Shi and R. Eberhart, "A modified particle swarm optimizer," in Proc. IEEE World Congr. Comput. Intell., May 1998, pp. 69-73.
7. R. C. Eberhart and Y. Shi, "Tracking and optimizing dynamic systems with particle swarms," in Proc. IEEE World CEC, May 2001, pp. 94-97.
8. P. Angeline, "Using selection to improve particle swarm optimization," in Proc. IJCNN, Jul. 1999, pp. 84-89.
9. A. P. Engelbrecht, Computational Intelligence an Introduction. Hoboken, NJ: Wiley, 2002, pp. 185-195.
10. J. Kennedy and R. Mendes, "Population structure and particle swarm performance," in Proc. IEEE World CEC, May 2002, pp. 1671-1676.
11. K. E. Parsopoulos and M. N. Vrahatis, UPSO - A Unified Particle Swarm Optimization Scheme, ser. Lecture Series on Computational Sciences, 2004, pp. 868-873.
12. T. Peram, K. Veeramachaneni, and C. K. Mohan, "Fitness-distance-ratio based particle swarm optimization," in Proc. Swarm Intell. Symp., 2003, pp. 174-181.
13. C. L. Lin, S. T. Hsieh, T. Y. Sun, and C. C. Liu, "PSO-based learning rate adjustment for blind source separation," in Proc. Int. Symp. ISPACS, Dec. 2005, pp. 181-184.
14. M. El-Abd and M. S. Kamel, "A hierarchical cooperative particle swarm optimizer," in Proc. Swarm Intell. Symp., 2006, pp. 43-47.
15. S. Baskar and P. N. Suganthan, "A novel concurrent particle swarm optimization," in Proc. IEEE Congr. Evol. Comput., 2004, vol. 1, pp. 792-796.
16. [Online]. Available: http://particleswarm.info
17. X. Yao, Y. Liu, and G. M. Lin, "Evolutionary programming made faster," IEEE Trans. Evol. Comput., vol. 3, no. 2, pp. 82-102, Jul. 1999.
18. C.-Y. Lee and X. Yao, "Evolutionary programming using mutations based on the levy probability distribution," IEEE Trans. Evol. Comput., vol. 8, no. 1, pp. 1-13, Feb. 2004.
19. Z. G. Tu and L. Yong, "A robust stochastic genetic algorithm (StGA) for global numerical optimization," IEEE Trans. Evol. Comput., vol. 8, no. 5, pp. 456-470, Oct. 2004.
20. R. Salomon, "Reevaluating genetic algorithm performance under coordinate rotation of benchmark functions," BioSystems, vol. 39, pp. 263-278, 1996.