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

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Simulated Evolution and Learning (SEAL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

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Abstract

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.

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© 2006 Springer-Verlag Berlin Heidelberg

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Liu, Y., Yu, Z. (2006). Optimal Designing of Multi-channel WDM Filter Using Intelligent Particle Swarm Optimization Algorithm. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_27

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  • DOI: https://doi.org/10.1007/11903697_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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