Resampling in particle swarm optimization

2013 IEEE Congress on Evolutionary Computation, CEC 2013

Volumn , Issue , 2013, Pages 947-954

  Rada Vilela, Juan ^a   Zhang, Mengjie ^a   Johnston, Mark ^a  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK FUNCTIONS; NOISE HANDLING; OPTIMAL COMPUTING BUDGET ALLOCATION; OPTIMIZATION PROBLEMS; POPULATION-BASED ALGORITHM; PSO ALGORITHMS; RESAMPLING; RESAMPLING METHOD;

ALGORITHMS; BUDGET CONTROL; ESTIMATION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84881600499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2013.6557669     Document Type: Conference Paper

References (21)

1. R. Poli, "Analysis of the publications on the applications of particle swarm optimisation," Journal of Artificial Evolution and Applications, pp. 1-10, 2008.
2. R. Eberhart and J. Kennedy, "A new optimizer using particle swarm theory," in Proceedings of the 6th International Symposium on Micro Machine and Human Science, 1995, pp. 39-43.
3. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proceed-ings of the IEEE International Conference on Neural Networks, vol. 4, 1995, pp. 1942-1948.
4. J. Rada-Vilela, M. Zhang, and W. Seah, "A performance study on the effects of noise and evaporation in particle swarm optimization," in Proceedings of the IEEE Congress on Evolutionary Computation, 2012, pp. 873-880.
5. K. E. Parsopoulos and M. N. Vrahatis, "Particle swarm optimizer in noisy and continuously changing environments," Artificial Intelligence and Soft Computing, pp. 289-294, 2001.
6. K. E. Parsopoulos and M. N. Vrahatis "Particle swarm optimization for imprecise problems," Scattering and Biomedical Engineering, Modeling and Applications, pp. 254-264, 2002.
7. C.-H. Chen, J. Lin, and S. E. Chick, "Simulation budget allocation for further enhancing the efficiency of ordinal optimization," Journal of Discrete Event Dynamic Systems: Theory and Applications, vol. 10, no. 3, pp. 251-270, 2000.
8. C.-H. Chen and L. H. Lee, Stochastic Simulation Optimization: An Optimal Computing Budget Allocation, ser. System Engineering and Operations Research. World Scientific, 2011, vol. 1.
9. T. Bartz-Beielstein, D. Blum, and J. Branke, "Particle swarm optimization and sequential sampling in noisy environments," in Metaheuristics, ser. Operations Research/Computer Science Interfaces Series. Springer, 2007, vol. 39, pp. 261-273.
10. H. Pan, L. Wang, and B. Liu, "Particle swarm optimization for function optimization in noisy environment," Applied Mathematics and Compu-tation, vol. 181, no. 2, pp. 908-919, 2006.
11. S. Zhang, P. Chen, L. H. Lee, C. E. Peng, and C.-H. Chen, "Simulation optimization using the particle swarm optimization with optimal computing budget allocation," in Proceedings of the Winter Simulation Conference, 2011, pp. 4298-4309.
12. Y. Shi and R. Eberhart, "A modified particle swarm optimizer," in Pro-ceedings of the IEEE World Congress on Computational Intelligence, 1998, pp. 69-73.
13. R. Mendes, "Population topologies and their influence in particle swarm performance," Ph.D. dissertation, Universidade do Minho, Portugal, 2004.
14. Y. Jin and J. Branke, "Evolutionary optimization in uncertain environments- A survey," IEEE Transactions on Evolutionary Computation, vol. 9, no. 3, pp. 303-317, 2005.
15. A. D. Pietro, "Optimising evolutionary strategies for problems with varying noise strength," Ph.D. dissertation, The University of Western Australia, 2007.
16. C.-H. Chen, "Optimal computing budget allocation for simulationbased decision making under uncertainty," accessed: 10/01/2013. [Online]. Available: http://seor.gmu.edu/cchen9/ocba.html
17. T. Bartz-Beielstein, C. Lasarczyk, and M. Preuss, "Sequential parameter optimization," in Proceedings of the IEEE Congress on Evolutionary Computation, vol. 1, 2005, pp. 773-780.
18. J. Kennedy, "The particle swarm: social adaptation of knowledge," in Proceedings of the IEEE International Conference on Evolutionary Computation, 1997, pp. 303-308.
19. G. S. Piperagkas, G. Georgoulas, K. E. Parsopoulos, C. D. Stylios, and A. C. Likas, "Integrating particle swarm optimization with reinforcement learning in noisy problems," in Proceedings of the Genetic and Evolutionary Computation Conference, 2012, pp. 65-72.
20. K. Tang, X. Li, P. N. Suganthan, Z. Yang, and T. Weise, "Benchmark Functions for the CEC'2010 Special Session and Competition on Large-Scale Global Optimization," Nature Inspired Computation and Applications Laboratory, USTC, China, Tech. Rep., 2009.
21. F. van den Bergh, "An analysis of particle swarm optimizers," Ph.D. dissertation, University of Pretoria, South Africa, 2002.