In this paper, we propose to use an inverse-based method that is implemented by a Genetic algorithm (GA) for
obtaining the strain and temperature profiles in a 10-mm fiber Bragg grating (FBG) sensor and a series set of ten 10-mm sensors. The changes of strain and temperatures are analyzed by utilizing the sensitivity of the refractive index
and grating period of the fiber Bragg grating sensor. This can be accomplished by reconstructing the FBG structural
shape by using a Genetic algorithm that is compared with the measured output data. Our ultimate objective for
utilizing these results are intended for real-time sensing of strain and temperature of these sensors which are ideally
suited for smart structures health monitoring and diagnostics applications.