光学薄膜自动设计的多目标优化方法
光学薄膜自动设计的多目标优化方法王文梁1 ,2 熊胜明1
(1 中国科学院光电技术研究所, 四川成都610209 ; 2 中国科学院研究生院, 北京100039)
摘要 光学薄膜中已使用的优化方法都是单目标寻优的,通过分析光学薄膜优化设计的原理,将薄膜设计的物理
问题归结为混合离散变量的多目标优化设计的数学模型,并认为这是薄膜设计的一般性模型,现行的单目标优化
算法只是这个模型的简化。基于这一新思路,并结合多目标优化算法的研究现状,采用了一种基于免疫应答原理
的智能型多目标优化算法。该算法隐含并行处理能力,原理上是具备全局搜索能力的自适应随机性算法。将此算
法运用到光学薄膜设计中,给出了一些优化的设计实例。结果表明,将多目标优化算法引入薄膜设计的新思路是
可行的,将来会有较好的发展前景。
关键词 光学设计; 光学薄膜; 多目标优化; 免疫应答
中图分类号 O484 文献标识码 A doi : 10. 3788/ AOS20082810. 2026
Mul t i object i ve Op t imi z a t i o n App r oa c h of Op t ic a l Thi n Fi lm Des i g n
Wang Wenliang 1 ,2 Xiong Shengming1
1 Ins t i t ute of Op t ics a n d Elect ronics , Chi nese Academy of Sciences , Chengd u , Sich u a n 610209 , Chi n a
2 Gr a d ua te Unive rsi t y of Chi nese Aca demy of Sciences , Beiji ng 100039 , Chi n a
Abs t r act All optimization methods used in optical thin film design can seek only one object . Af ter t he analysis of the
theory of optical thin film optimization design , it is p roposed that multiobjective optimization with mixed discrete
variable is the essential mathematical model and can reflect the p hysical essence of optical thin film design. The
optimization algorithm for single objective p roblem which has been widely used in the fields of optical thin film design
is only a simplification. Based on this new consideration and the s tatus of multiobjective optimization research , an
immune response2based multiobjective optimization algorithm is adopted to design optical thin film. This algorithm
can implement parallel t reatment , and is a self2adaptive random algorithm with ove rall search capability in p rinciple .
The algorithm is used in optical thin film design , and some examples are p resented. According to the results of
expe riments , the idea of applying multiobjective optimization app roach to designing optical thin film can be realized in
theory and have a bright future .
Key wor ds optical design ; optical t hin film; multiobjective optimization ; response of the immune system tfc吗？
理论？ 好东西~~~~~~~~~~~~ yuiyuiyuihgjgh 支持上传，感谢分享！ 谢谢楼主分享，看看，学习学习 我推
謝謝樓主
好东西呀。。。 学习学习,谢谢 不错啊，，呵呵