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XIANGTAO LI1, JIE ZHANG1, XIN LI1, MINGHAO YIN1,*
This paper presents the design of a low-dispersion fiber Bragg Grating (FBG) with an optimal grating length. The paper aims to develop a numerical solution for the low-dispersion fiber Bragg Grating (FBG) via a variation of differential evolution, which is called CoDE. A novel objective function formulation is used to the optimal grating length low-dispersion FBG design. CoDE combines several effective trail vector generation strategies with some suitable control parameter settings in a random way to generate trail vectors. The design of a low-dispersion FBG filter with 25-GHz bandwidth is considered. The experimental results of the CoDE algorithm have been shown better than the CMAES algorithm and PSO algorithm in a statistically meaningful way..
Composite differential evolution, Covariance matrix adapted evolution strategy, Fiber Bragg grating, Filter design, Low-dispersion, Optimal grating length.
XIANGTAO LI, JIE ZHANG, XIN LI, MINGHAO YIN, Composite differential evolution for optimal length low-dispersion fiber Bragg gratings, Optoelectronics and Advanced Materials - Rapid Communications, 8, 5-6, May-June 2014, pp.390-394 (2014).
Submitted at: March 5, 2012
Accepted at: May 15, 2014
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
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