微分进化算法被用来在纤维布拉格栅栏(FBG ) 解决紧张分发的反的问题。线性、非线性的紧张侧面基于思考系列被重建。一个近似答案能在仅仅 50 轮进化以内被获得。数字例子显示出在目标紧张侧面和重建的之间的好协议。联机表演分析在解决 FBG 的反的问题照亮微分进化算法的效率和实物。
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.