Journal of the Optical Society of Korea

  • 제17권3호
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  • Pages.237-241
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  • 2013
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  • 1226-4776(pISSN)
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  • 2093-6885(eISSN)
한국광학회 (Optical Society of Korea)
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Fuzzy Adaptive Modified PSO-Algorithm Assisted to Design of Photonic Crystal Fiber Raman Amplifier

  • Akhlaghi, Majid (Young Researchers and Elite Club, Omidieh Branch, Islamic Azad University) ;
  • Emami, Farzin (Department of Opto Electronic, Shiraz University of Technology)
  • 투고 : 2013.01.24
  • 심사 : 2013.04.22
  • 발행 : 2013.06.25
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초록

This paper presents an efficient evolutionary method to optimize the gain ripple of multi-pumps photonic crystal fiber Raman amplifier using the Fuzzy Adaptive Modified PSO (FAMPSO) algorithm. The original PSO has difficulties in premature convergence, performance and the diversity loss in optimization as well as appropriate tuning of its parameters. The feasibility and effectiveness of the proposed hybrid algorithm is demonstrated and results are compared with the PSO algorithm. It is shown that FAMPSO has a high quality solution, superior convergence characteristics and shorter computation time.

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참고문헌

  1. D. Wang, N. Zou, Z. Kang, J. Liu, Y. Namihira, and Y. Zhang, "Design and analysis of gain-flattened raman amplifiers with novel highly nonlinear photonic crystal fibers," in Proc. 7th Int. Conf. on WiCOM (shanghai, China, 2011), pp. 1-4.
  2. T. A. Birks, J. C. Knight, and P. S. J. Russell, "Endlessly single-mode photonic crystal fiber," Opt. Lett. 22, 961-963 (1997). https://doi.org/10.1364/OL.22.000961
  3. Z. Yusoff, J. H. Lee, W. Belardi, T. M. Monro, P. C. Teh, and D. J. Richardson, "Raman effects in a highly nonlinear holey fiber: amplification and modulation," Opt. Lett. 27, 424-426 (2002). https://doi.org/10.1364/OL.27.000424
  4. K. Saitoh and M. Koshiba, "Highly nonlinear dispersionflattened photonic crystal fibers for supercontinuum generation in a telecommunication window," Opt. Express 12, 2027-2032 (2004). https://doi.org/10.1364/OPEX.12.002027
  5. K. Saitoh, M. Koshiba, T. Hasegawa, and E. Sasaoka, "Chromatic dispersion control in photonic crystal fibers: application to ultra-flattened dispersion," Opt. Express 11, 843-852 (2003). https://doi.org/10.1364/OE.11.000843
  6. R. K. Sinha and S. K. Varshney, "Dispersion properties of photonic crystal fibers," Microw. Opt. Technol. Lett. 37, 129-132 (2003). https://doi.org/10.1002/mop.10845
  7. M. Danaie and H. Kaatuzian, "Bandwidth improvement for a photonic crystal optical Y-splitter," J. Opt. Soc. Korea 15, 283-288 (2011). https://doi.org/10.3807/JOSK.2011.15.3.283
  8. H. Aghababaeian, M. H. Vadjed-Samiei, and N. Granpayeh, "Temperature stabilization of group index in silicon slotted photonic crystal waveguides," J. Opt. Soc. Korea 15, 398-402 (2011). https://doi.org/10.3807/JOSK.2011.15.4.398
  9. M. Bozorgi and N. Granpayeh, "Directional emission from photonic crystal waveguide output by terminating with CROW and employing the PSO algorithm," J. Opt. Soc. Korea 15, 187-195 (2011). https://doi.org/10.3807/JOSK.2011.15.2.187
  10. C. J. S. de Matos, K. P. Hansen, and J. R. Taylor, "Experimental characterization of Raman gain efficiency of holey fiber," Electron. Lett. 5, 424-425 (2003).
  11. C. L. Zhao, Z. Li, X. Yang, C. Lu, W. Jin, and M. S. Demokan, "Effect of a nonlinear photonic crystal fiber on the noise characterization of a distributed Raman amplifier," IEEE Photon. Technol. Lett. 3, 561-563 (2005).
  12. S. K. Varshney, K. Saitoh, T. Fujisawa, and M. Koshiba, "Design of gain-flattened highly nonlinear photonic crystal fiber Raman amplifier using a single pump: a leakage loss approach," in Proc. OFC Conference (Anaheim, California, USA, 2006), paper OWD4.
  13. J. Chang, T. Wang, and Z. Tao, "Optimal design of flattened gain spectrum of Raman amplifiers based on photonic crystal fibers," in Proc. Photonics and Optoelectronics, SOPO Symposium (Shanghai, China, 2009), pp. 1-4.
  14. M. Bottacini, F. Poli, A. Cucinotta, and S. Selleri, "Modeling of photonic crystal fiber Raman amplifiers," J. Lightwave Technol. 7, 1707-1713 (2004).
  15. F. Emami and M. Akhlaghi, "Gain ripple decrement of S-band Raman amplifier," IEEE Photon. Technol. Lett. 24, 1349-1352 (2012). https://doi.org/10.1109/LPT.2012.2203591
  16. S. Chaoli, Z. Jianchao, and P. Jeng, "A modified particle swarm optimization with feasibility-based rules for mixedvariable optimization problems," Int. J. Innovative Computing, Information and Control 7, 3081-3096 (2011).
  17. T. Niknam, H. Mojarrad, and M. Nayeripour, "A new fuzzy adaptive particle swarm optimization for non-convex economic dispatch," Int. J. Innovative Computing, Information and Control 7, 1764-1778 (2011).
  18. T. Niknam, H. D. Mojarrad, and H. Z. Meymand, "A novel hybrid particle swarm optimization for economic dispatch with valve-point loading effects," Applied Energy Conversion and Management 52, 1800-1809 (2011). https://doi.org/10.1016/j.enconman.2010.11.004
  19. P. Bajpai and S. N. Singh, "Fuzzy adaptive particle swarm optimization for biddinrg strategy in uniform price spot market," IEEE Trans. Power Sys. 22, 2152-2160 (2007). https://doi.org/10.1109/TPWRS.2007.907445
  20. Z. L. Dashtestani, F. Korushavi, and M. H. Rahmani, "An efficient shooting method for fiber amplifiers and lasers," J. Optics & Laser Technology 40, 1041-1046 (2008). https://doi.org/10.1016/j.optlastec.2008.02.006
  21. G. C. M. Ferreira, S. P. N. Cani, M. J. Pontes, and M. E. V. Segatto, "Optimization of distributed Raman amplifiers using a hybrid genetic algorithm with geometric compensation technique," IEEE J. Photonics 3, 390-399 (2011). https://doi.org/10.1109/JPHOT.2011.2140366
  22. H. M Jiang, K. Xie, and Y. F. Wang, "Shooting algorithm and particle swarm optimization based Raman fiber amplifiers," Opt. Commun. 283, 3348-3352 (2010). https://doi.org/10.1016/j.optcom.2010.04.024

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