4 January 2008 Parameter identification of chaotic optical systems based on intelligent optimization techniques
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Proceedings Volume 6839, Nonlinear Optics: Technologies and Applications; 683929 (2008); doi: 10.1117/12.757776
Event: Photonics Asia 2007, 2007, Beijing, China
Abstract
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.
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Meiying Ye, Xiaodong Wang, "Parameter identification of chaotic optical systems based on intelligent optimization techniques", Proc. SPIE 6839, Nonlinear Optics: Technologies and Applications, 683929 (4 January 2008); doi: 10.1117/12.757776; https://doi.org/10.1117/12.757776
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KEYWORDS
Particle swarm optimization

Particles

Computer simulations

Computing systems

Systems modeling

Genetic algorithms

Complex systems

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