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模拟退火算法与遗传算法在光谱椭偏数据处理中的应用比较
引用本文:周全,黄云. 模拟退火算法与遗传算法在光谱椭偏数据处理中的应用比较[J]. 应用光学, 2008, 29(3): 385-389
作者姓名:周全  黄云
作者单位:国防科学技术大学,光电科学与工程学院,湖南,长沙,410073
摘    要:分别利用模拟退火算法和遗传算法在MATLAB 6.5中编写了一个数据处理程序,用来处理VASE椭偏仪在光谱范围为500nm~900nm所测得的椭偏数据。根据VASE椭偏仪的光度法原理,对评价函数方程进行了改进,并选择合适的退火参数和遗传参数进行计算,得到的数据处理结果与仪器处理结果基本一致。最后对两种算法在解决该类问题上的优劣进行了比较。

关 键 词:椭圆偏振测量术  模拟退火算法  遗传算法  数据处理
文章编号:1002-2082(2008)03-0385-05
收稿时间:2007-05-14
修稿时间:2007-05-14

Application and comparison of simulated annealing algorithm and genetic algorithm in spectral ellipsometry data processing
ZHOU Quan,HUANG Yan. Application and comparison of simulated annealing algorithm and genetic algorithm in spectral ellipsometry data processing[J]. Journal of Applied Optics, 2008, 29(3): 385-389
Authors:ZHOU Quan  HUANG Yan
Affiliation:College of Optoelectronic Science and Engineering, National University of
Defense and Technology, Changsha 410073, China
Abstract:A data processing program was written in MATLAB 6.5 with the simulated annealing algorithm and genetic algorithm to process the ellipsometry data detected by VASE Ellipsometer in the spectral range of 500 nm~900 nm. The evaluating function equation was improved according to the photometry principle of VASE Ellipsometer,and some calculations were made with some proper annealing and genetic parameters. The results of the data processing agree with those of the instrument processing. At last,the two algorithms were compared.
Keywords:ellipsometry  simulated annealing algorithm  genetic algorithm  data processing
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