Zhang J R, Zhang J, Lok T M, et al. A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training[J]. Applied Mathematics and Computation, 2007,185(2):39-43.
[2]
Guo Q J, Yu H B. A hybrid PSO-GD based intelligent method for machine diagnosis[J]. Digital Signal Processing, 2006,16(4):402-418.
[3]
Parrott D, Li X D. Locating and tracking multiple dynamics optima by a particle swarm model using speciation[J]. IEEE Transactions on Evolutionary Computation, 2006,10(4):440-458.
[4]
Gaing Z L. A particle swarm optimization approach for optimum design of PID controller in AVR system[J]. IEEE Transactions on Energy Conversion, 2004,19(2):384-391.
[5]
Shi Y H, Eberhart R C. A modified particle swarm optimizer[C]//Proceedings of IEEE World Congress on Computational Intelligence. Alaska, USA: IEEE, 1998:69-73.
[6]
Clerc M, Kenndey J. The particle swarm-exploration, stability, and convergence in a multidimensional complex space[J] Proceedings of IEEE Transactions on Evolutionary Computation, 2002, 6(1):58-73.
[7]
Kennedy J, Eberhart R C. Particle swarm optimization[C]//Proceedings of IEEE International Conference on Neural Networks. USA: Piscataway, IEEE, 1995:1942-1948.
[8]
Eberhart R C, Kennedy J. A new optimizer using particle swarm theory[C]//Proceedings of the Sixth International Sysposium on Micro Machine and Human Science. Nagoya, Japan:[s.n.], 1995:39-43.