用退火进化算法分析扩展x射线吸收精细结构光谱

W. Cai, Liya Wang, Z. Pan, X. Shao
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引用次数: 5

摘要

提出了一种结合遗传算法和模拟退火的退火进化算法,求解非线性最小二乘函数的全局最小值,用于谱拟合。将该算法应用于两种Cu样品的实验扩展x射线吸收精细结构(EXAFS)光谱的结构参数拟合,得到了合理的结果。与遗传算法和EXCURVE88相比,AEA方法在分析EXAFS光谱时速度更快、精度更高。
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Analysis of extended X-ray absorption fine structure spectra using annealing evolutionary algorithms
An annealing evolutionary algorithm (AEA), which combines aspects of genetic algorithms and simulated annealing, is proposed to find the global minimum of a non-linear least square function for spectral fitting. By application of the algorithm to the fitting of structural parameters from experimental extended X-ray absorption fine structure (EXAFS) spectra of two Cu samples, it was found that reasonable results were obtained. Comparing with genetic algorithms and EXCURVE88, the AEA method is faster and more accurate in analysis of EXAFS spectra.
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