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Differential evolution algorithm is used to solve the inverse problem of strain distribution in fiber Bragg grating (FBG). Linear and nonlinear strain profiles are reconstructed based on the reflection spectra. An approximate solution could be obtained within only 50 rounds of evolutions. Numerical examples show good agreements between target strain profiles and reconstructed ones. Online performance analysis illuminates the efficiency and practicality of differential evolution algorithm in solving the inverse problem of FBG.
Differential evolution algorithm is used to solve the inverse problem of strain distribution in fiber Bragg grating (FBG). Linear and nonlinear strain profiles are reconstructed based on the reflection spectra. An approximate solution could be within only 50 rounds of evolutions. Numerical examples show good agreements between target strain profiles and reconstructed ones. Online performance analysis illuminates the efficiency and practicality of differential evolution algorithm in solving the inverse problem of FBG.