A novel particle swarm algorithm for solving parameter identification problems on graphics hardware

International Journal of Computational Science and Engineering

Volumn 6, Issue 1-2, 2011, Pages 43-51

  Wang, Jing ^a   Wu, Zhijian ^a   Wang, Hui ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Graphics hardware; Inverse problem; OBL; Opposition based learning; Parameter identification problem; Particle swarm optimization; PSO

Indexed keywords

INVERSE PROBLEMS; PARAMETER ESTIMATION;

CONVERGENCE RATES; GRAPHICS HARDWARE; NOVEL ALGORITHM; OPPOSITION-BASED LEARNING; PARAMETER IDENTIFICATION PROBLEMS; PARTICLE SWARM ALGORITHM; PARTICLE SWARM OPTIMISATION; SOLUTION SPACE;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 79960351995     PISSN: 17427185     EISSN: 17427193     Source Type: Journal    
DOI: 10.1504/IJCSE.2011.0412011     Document Type: Article

References (19)

1. Cai, X., Cui, Y. and Tan, Y. (2009) 'Predicted modified PSO with time-varying accelerator coefficients', International Journal of Bio-inspired Computation, Vol. 1, Nos. 1/2, pp.50-60.
2. Faria, B.G. and nunes de Catro, L. (2003) 'Parameter identification of an airship model using evolution strategies', Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), Canberra, Australia, IEEE Press, pp.1493-1499.
3. Folino, G., Pizzuti, C. and Spezzano, G. (2003) 'A scalable cellular implementation of parallel genetic programming', IEEE Trans. Evolutionary Computation, pp.37-53.
4. Guo, B. and Zou, J. (2001) 'An augmented Lagrangian method for parameter identifications in parabolic systems', Journal of Marhrnlnrical Analaysis and Applications, Vol. 263, pp.49-68. (Pubitemid 33098360)
5. Hu, X., Shi, Y. and Eberhart, R.C. (2004) 'Recent advances in particle swarm', Proceedings of the Congress on Evolutionary Computation, IEEE Press, pp.90-97.
6. Ito, K. and Kunisch, K. (1998) 'The augmenled Lagrangian method for parameter estimation in elliptic system', SIAM J. Control Optim, Vol. 28, pp.113-136.
7. Kumar, R., Sharma, D. and Kumar, A. (2009) 'A new hybrid multi-agent-based particle swarm optimisation technique', International Journal of Bio-inspired Computation, Vol. 1, No. 4, pp.259-269.
8. NVIDIA (2007) 'Introduction to CUDA', NVIDIA CUDA Programming Guide1.1, Chapter 1.
9. Parsopoulos, K.E., Kariotou, F., Dassios, G. and Vrahatis, M.N. (2009) 'Tackling magneto encephalography with particle swarm optimization', International Journal of Bio-inspired Computation, Vol. 1, No. 1/2, pp.32-49.
10. Rahnamayan, S., Tizhoosh, H.R. and Salama, M.M. (2007) 'Quasi-oppositional differential evolution', Proc. Congr. Evol. Comput, pp.2229-2236. (Pubitemid 351371675)
11. Rahnamayan, S., Tizhoosh, H.R. and Salama, M.M.A. (2006a) 'Opposition-based differential evolution algorithms', Proc. Congr. Evol. Comput, pp.2010-2017. (Pubitemid 47130743)
12. Rahnamayan, S., Tizhoosh, H.R. and Salama, M.M.A. (2006b) 'Opposition-based differential evolution for optimization of noisy problems', Proc. Congr. Evol. Comput, pp.1865-1872. (Pubitemid 47130723)
13. Rahnamayan, S., Tizhoosh, H.R. and Salama, M.M.A. (2008) 'Opposition-based differential evolution', IEEE Trans. Evolutionary Computation, pp.64-79. (Pubitemid 351330332)
14. Sivanandam, S.N. and Visalakshi, P. (2009) 'Dynamic task scheduling with load balancing using parallel orthogonal particle swarm optimization', International Journal of Bio-inspired Computation, Vol. 1, No. 4, pp.276-286.
15. Tizhoosh, H.R. (2005) 'Opposition-based learning: a new scheme for machine intelligence', Proc. Int. Conf. on Computational Intelligence for Modeling Control and Automation, pp.695-701.
16. Wang, J., Wu, Z., Wang, H. and Kang, L. (2009) 'A novel evolutionary algorithm based on multi-parent crossover and space transformation search', Proceedings of International Symposium on Intelligence computation and Applications, Lecture Notes In Computer Science, Vol. 5821, pp.201-210.
17. Wu, Z., Tang, Z., Zou, J., Kang, L. and Li, M. (2004) 'Evolutionary algorithm for solving parameter identification problems in elliptic systems', Proceedings Congress on Evolutionary Computation, USA, pp.803-808.
18. Xiong, S., Li, Y., Kang, L. and Chen, Y. (2000) 'Identification of spatially-varying parameters of parabolic partial differential equation by evolutionary algorithms', Chinese Journal of computers, Vol. 23, No. 3, pp.261-265.
19. Xue, S., Zhang, J. and Zeng, J. (2009) 'Parallel asynchronous control strategy for target search with swarm robots', International Journal of Bio-inspired Computation, Vol. 1, No. 3, pp.151-163.