An intelligent optimization technique based on particle swarm optimization is proposed to identify parameters of chaotic optical systems. The feasibility of this approach was demonstrated with the computer simulation through identifying the parameters of Bragg acoustic-optical bistable system. The performance of the particle swarm optimization technique was compared with the more common genetic algorithm in terms of parameter accuracy and computation time. Simulation results demonstrated that the particle swarm optimization has better performance than the genetic algorithm in solving the parameter identification problem of chaotic optical systems.

Date Published: 4 January 2008
PDF: 7 pages
Proc. SPIE 6839, Nonlinear Optics: Technologies and Applications, 683929 (4 January 2008); doi: 10.1117/12.757776

Published in SPIE Proceedings Vol. 6839:
Nonlinear Optics: Technologies and Applications
Yiping Cui; Qihuang Gong; Yuen-Ron Shen, Editor(s)