1998
DOI: 10.1109/50.721082
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A genetic algorithm for the inverse problem in synthesis of fiber gratings

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Cited by 134 publications
(59 citation statements)
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“…Moreover, FBG has many changeable structural parameters, such as period, apodization function, length and chirp, which make it more flexible for spectral shaping. Some inverse engineering algorithms, including Fourier transform method based on first-order Born approximation [12,13], solving Gel'fand-Levitan-Marchenko (GLM) integral equation [14], layer-peeling method [15] and genetic algorithm [16] and so on, have also been known and they can be implemented to obtain easily the eminent design of complex FBG.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, FBG has many changeable structural parameters, such as period, apodization function, length and chirp, which make it more flexible for spectral shaping. Some inverse engineering algorithms, including Fourier transform method based on first-order Born approximation [12,13], solving Gel'fand-Levitan-Marchenko (GLM) integral equation [14], layer-peeling method [15] and genetic algorithm [16] and so on, have also been known and they can be implemented to obtain easily the eminent design of complex FBG.…”
Section: Introductionmentioning
confidence: 99%
“…More precisely, the complex spectral response and the power reflection function can be approximated by the following expressions (see (Skaar and Risvik, 1998)):…”
Section: Uniform Fbgmentioning
confidence: 99%
“…Fiber gratings have also become good candidates for shaping pulses. Many inverse design algorithms have been introduced, [2][3][4][5] among which the inverse scattering layer peeling method ͑LPM͒ ͑Ref. 6͒ is the most used.…”
mentioning
confidence: 99%