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基于遗传算法的干涉条纹数据处理方法
引用本文:李直,赵洋,李达成. 基于遗传算法的干涉条纹数据处理方法[J]. 光学技术, 2001, 27(2): 136-138
作者姓名:李直  赵洋  李达成
作者单位:清华大学精密仪器与机械学系精密测试技术及仪器国家重点实验室!北京100084
摘    要:提出了基于遗传算法的干涉条纹数据处理方法。该方法是在最小二乘余弦曲线拟合的基础上 ,引入了具有全局优化能力的遗传算法以解决目标函数多极值问题 ,从而使得最小二乘余弦曲线拟合对干涉条纹处理具有很好的鲁棒性和自适应能力。仿真结果表明 ,在 2 0 %均匀分布噪声条件下 ,拟合模型主要参数 -干涉条纹空间频率及初相位 -拟合误差小于 0 .5 %。

关 键 词:遗传算法  干涉条纹  曲线拟合
文章编号:1002-1582(2001)02-0136-03
修稿时间:2000-09-08

Novel data processing method of interference stripes based on genetic algorithms
LI Zhi,ZHAO Yang,LI Da-cheng. Novel data processing method of interference stripes based on genetic algorithms[J]. Optical Technique, 2001, 27(2): 136-138
Authors:LI Zhi  ZHAO Yang  LI Da-cheng
Abstract:A novel data processing method of interference stripes based on genetic algorithms is described In the course of curve fitting for interference stripes with cosinus, there usually exist several extremums of the objective function in the parameter space, which baffles the conventional optimization technique to converge to the right parameters Therefore genetic algorithm is introduced to assume the optimization task And the simulating results show that the fitting errors of the main parameters are less than 0 5 percent even in the existence of uniformly distributed noise, the amplitude of which is up to 10 percent
Keywords:genetic algorithms  interference stripes  curve fitting
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