Simultaneous perturbation particle swarm optimization

2006 IEEE Congress on Evolutionary Computation, CEC 2006

Volumn , Issue , 2006, Pages 672-676

  Maeda, Yutaka ^a,b   Kuratani, Toru ^b  

^a IEEE   (Japan)

^b KANSAI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

PARTICLE SWARM OPTIMIZATION; SIMULTANEOUS PERTURBATION;

EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; NEURAL NETWORKS; PERTURBATION TECHNIQUES;

GLOBAL OPTIMIZATION;

EID: 34547263388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. E. Bonabeau, M. Dorigo, and G. Theraulaz, "Swarm intelligence: from natural to artificial systems," Oxford University Press., 1999.
2. C. Juang, "A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design," IEEE Trans. on SYSTEMS, MAN, AND CYBERNETICS - PART B: CYBERNETICS, vol. 34, no. 2, pp. 997-1006, 2004.
3. K. E. Parsopoulos and M. N. Vrahatis, "On the Computation of All Global Minimizers Through Particle Swarm Optimization," IEEE Trans. on EVOLUTIONARY COMPUTATION, vol. 8, no. 3, pp. 211-224, 2004.
4. J. C. Spall, "A stochastic approximation technique for generating maximum likelihood parameter estimates," in Proc. Amer. Control Conf., 1987, pp. 1161-1167.
5. J. C. Spall, "Multivariable stochastic approximation using a simultaneous perturbation gradient approximation," IEEE Trans. Autom. Control, vol.37, pp. 332-341, Mar. 1992.
6. Y. Maeda and T. Tada : "FPGA Implementation of a Pulse Density Neural Network with Learning Ability Using Simultaneous Perturbation," IEEE Trans. on NEURAL NETWORKS, vol. 14, no. 3, pp.688-695, 2003.
7. Y. Maeda, H. Hirano and Y. Kanata : "A Learning Rule of Neural Networks Via Simultaneous Perturbation and Its Hardware Implementation," Neural Networks, vol. 8, no. 2, pp. 251-259, 1995.
8. Y. Maeda and M. Wakamura : "Simultaneous Perturbation Learning Rule for Recurrent Neural Networks and Its FPGA Implementation," IEEE Trans. on NEURAL NETWORKS, vol. 16, no. 6, pp. 1664-1672, 2005.