在這篇論文中，我們將提出一些新的方法，去達成任意應變分佈的量測，主要是利用光纖光柵間的類-Fabry-Perot的效應造成反射頻譜的變化（不同反射頻譜對應到不同任意應變分佈），接下來使用實數型基因演算法分析反射頻譜,逆向地求得光纖光柵長度上任意應變的分佈。
　　我們提出的方法可精確的重建應變，而不受限於應變分佈的型式及光纖光柵的長度，而可達成量測任意應變的分佈。我們藉著重建光纖光柵上非單調應變分佈，來驗證這些技術的可行性及精確性；這些應變包括：定值應變分佈、線性梯度應變分佈、不連續應變分佈形式。

　　In this thesis we will propose that the methods of arbitrary strain distribution sensing with real-code genetic algorithm to analyze the reflection spectrums of Fabry-Perot-like of fiber Bragg gratings. The arbitrary strain distribution along the fiber Bragg gratings is recovered inversely from the Fabry-Perot-like reflective spectrum using the genetic algorithm optimization process.
　　The proposed methods permit accurate strain reconstruction with no restrictions on the applied strain profile or on the grating length. We demonstrate the validity and accuracy of these techniques by reconstructing the strain distribution along the grating with nonmonotonic strain profile, which includes: a constant strain distribution, linearly gradient strain, and strain discontinuities.

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