CIOMP OpenIR
A Surrogate Model Based Multi-Objective Optimization Method for Optical Imaging System
L. Sheng; W. C. Zhao; Y. Zhou; W. M. Lin; C. Y. Du and H. W. Lou
2022
发表期刊Applied Sciences-Basel
卷号12期号:13页码:21
摘要An optimization model for the optical imaging system was established in this paper. It combined the modern design of experiments (DOE) method known as Latin hypercube sampling (LHS), Kriging surrogate model training, and the multi-objective optimization algorithm NSGA-III into the optimization of a triplet optical system. Compared with the methods that rely mainly on optical system simulation, this surrogate model-based multi-objective optimization method can achieve a high-accuracy result with significantly improved optimization efficiency. Using this model, case studies were carried out for two-objective optimizations of a Cooke triplet optical system. The results showed that the weighted geometric spot diagram and the maximum field curvature were reduced 5.32% and 11.59%, respectively, in the first case. In the second case, where the initial parameters were already optimized by Code-V, this model further reduced the weighted geometric spot diagram and the maximum field curvature by another 3.53% and 4.33%, respectively. The imaging quality in both cases was considerably improved compared with the initial design, indicating that the model is suitable for the optimal design of an optical system.
DOI10.3390/app12136810
URL查看原文
收录类别sci
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/67137
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
L. Sheng,W. C. Zhao,Y. Zhou,et al. A Surrogate Model Based Multi-Objective Optimization Method for Optical Imaging System[J]. Applied Sciences-Basel,2022,12(13):21.
APA L. Sheng,W. C. Zhao,Y. Zhou,W. M. Lin,&C. Y. Du and H. W. Lou.(2022).A Surrogate Model Based Multi-Objective Optimization Method for Optical Imaging System.Applied Sciences-Basel,12(13),21.
MLA L. Sheng,et al."A Surrogate Model Based Multi-Objective Optimization Method for Optical Imaging System".Applied Sciences-Basel 12.13(2022):21.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A Surrogate Model Ba(3108KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[L. Sheng]的文章
[W. C. Zhao]的文章
[Y. Zhou]的文章
百度学术
百度学术中相似的文章
[L. Sheng]的文章
[W. C. Zhao]的文章
[Y. Zhou]的文章
必应学术
必应学术中相似的文章
[L. Sheng]的文章
[W. C. Zhao]的文章
[Y. Zhou]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A Surrogate Model Based Multi-Objective Optimi.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。