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遗传算法用于衍射光学元件的优化设计
引用本文:陈焘,罗崇泰,王多书,马勉军,刘宏开.遗传算法用于衍射光学元件的优化设计[J].光电工程,2004,31(12):8-11.
作者姓名:陈焘  罗崇泰  王多书  马勉军  刘宏开
作者单位:中国科学院兰州物理研究所,甘肃,兰州,730000;中国科学院兰州物理研究所,甘肃,兰州,730000;中国科学院兰州物理研究所,甘肃,兰州,730000;中国科学院兰州物理研究所,甘肃,兰州,730000;中国科学院兰州物理研究所,甘肃,兰州,730000
摘    要:提出了一种基于遗传算法的衍射光学元件优化设计方法;在衍射光学元件设计中遗传算法运行参数对遗传算法性能有一定的影响:采用较大的群体规模,遗传算法越容易获得最优解;交叉算子越大,遗传算法全局搜索能力越强;选择算子对遗传算法的影响不是太大;如果要进一步提高解的精度,可选取较大的终止代数。数值计算结果表明,用遗传算法优化设计的衍射光学元件,其误差小于 5.2%,衍射效率达到 91.2%。遗传算法很适合衍射光学元件的优化设计。

关 键 词:遗传算法  衍射光学元件  优化设计
文章编号:1003-501X(2004)12-0008-04
收稿时间:2003/12/29

Genetic algorithms used for optimization design of diffractive optical elements
CHEN Tao,LUO Chong-tai,WANG Duo-shu,MA Mian-jun,LIU Hong-kai.Genetic algorithms used for optimization design of diffractive optical elements[J].Opto-Electronic Engineering,2004,31(12):8-11.
Authors:CHEN Tao  LUO Chong-tai  WANG Duo-shu  MA Mian-jun  LIU Hong-kai
Abstract:A diffractive optical elements optimization design method based on genetic algorithm is proposed. For designing diffractive optical elements, the function parameters of genetic algorithm have some influence on the performance of genetic algorithm: when a bigger population scale is selected, genetic algorithm can obtain optimal solution easily; when cross operator is larger the searching capability of genetic algorithm will be more powerful. The influence of selecting operator on genetic algorithm is not important.If solution accuracy is to be further improved, a bigger termination generation can be selected. The numerical calculation results shows that the error of the diffractive optical elements optimally designed by genetic algorithm is less than 5.2% and its diffraction efficiency has attained 91.2%. Genetic algorithm is very suitable for the optimization design of diffractive optical elements.
Keywords:Genetic algorithms  Diffractive optical elements  Optimal design
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