An colony optimization in lens design

被引:3
|
作者
Tang, Ziyao [1 ]
Sonntag, Matthias [2 ]
Gross, Herbert [1 ,3 ]
机构
[1] Friedrich Schiller Univ Jena, Inst Appl Phys, Albert Einstein Str 15, D-07745 Jena, Germany
[2] Carl Zeiss, D-73446 Oberkochen, Germany
[3] Fraunhofer Inst Appl Opt & Precis Engn IOF, Albert Einstein Str 7, D-07745 Jena, Germany
关键词
D O I
10.1364/AO.58.006357
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
As the most widely used optimization algorithm in optical design, the damped least square (DLS) method is advantageous for its fast convergence and deterministic optimization path. However, results are strongly dependent on the initial system and problematic when it is stuck in a local minimum in the searching space. To overcome these disadvantages, a biology intelligence-based algorithm, ant colony optimization (ACO) is implemented and tested for optical design tasks. Additionally, the ACO method has a better performance considering glass optimization. Two ACO versions, which are proved applicable, are introduced and their feasibility is assessed based on some case studies. (C) 2019 Optical Society of America
引用
收藏
页码:6357 / 6364
页数:8
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