Optimal Designing of Multi-channel WDM Filter Using Intelligent Particle Swarm Optimization Algorithm

  • Yumin Liu
  • Zhongyuan Yu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)


An innovation long period grating (LPG) synthesis method based on intelligent particle swarm optimization (PSO) algorithm is demonstrated to be very effective for designing flat band LPG filters. A flatten 3dB loss spectrum LPG with bandwidth over 100nm is designed as an example to show the effectiveness of the PSO algorithm. To improve the capability of optimization algorithm, we use the improved LPSO version proposed recently. This 3dB LPG is a key component of multi-channel filter in optical communications and optical sensors. The results showed that the intelligent PSO algorithm is very powerful and can be used for complex optimization problem.


Particle Swarm Optimization Fiber Bragg Grating Particle Swarm Optimization Algorithm Index Modulation Inertia Weight 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yumin Liu
    • 1
    • 2
  • Zhongyuan Yu
    • 1
    • 2
  1. 1.School of ScienceBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Key Laboratory of Optical Communication and Lightwave Technologies, Ministry of EducationBeijingChina

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