Applications of the Genetic Algorithm with Steepest Descent Algorithm on Analyzing the Gauss-Type Overlapped Peaks

Qing Shen; Qing Feng Xu; Kai Yin; Yun Xu

doi:10.4028/www.scientific.net/AMM.198-199.1432

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Applications of the Genetic Algorithm with Steepest Descent Algorithm on Analyzing the Gauss-Type Overlapped Peaks
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199Applications of the Genetic Algorithm with...

Applications of the Genetic Algorithm with Steepest Descent Algorithm on Analyzing the Gauss-Type Overlapped Peaks

Abstract:

As an optimization which is of very strong robustness and independent of the concrete areas of the problems, the genetic algorithm are discussed and applied in analyzing the signals of the overlapped peaks more and more. However, whether the Gauss-type or the Lorentz-type spectrum lines, the functions of which are usually very complicated. Thus, it is very difficult to obtain a favorable solution using the genetic algorithm, and there are too many generations of calculation. Therefore, in this letter, the steepest descent algorithm is added to the genetic algorithm. And the fast converged favorable solutions are obtained through simulating the analyzing the Gauss-type overlapped peaks.