摘要
基于聚类全局优化算法提出了一种新的薄膜设计优化方法,它可以迭代地改变初始膜系结构,相比传统的局域优化技术,能够计算得更加全面、彻底。即使初始膜系和设计目标差距非常大,这种聚类全局优化方法依然能够优化出很好的结果,克服了传统局域优化方法的缺点。利用可见到红外宽波段增透膜的实例证实了聚类全局优化方法在处理薄膜设计问题上的能力与优势。
A new thin film design and optimization method based on clustering and global optimization algorithms is presented, which can iteratively change the initial structure. The design solution is calculated more thoroughly by this new design method than the traditional local optimization technique. When initial film structure is far from the design target, this kind of clustering global optimization method has the unique advantage that a satisfied consequence can still be obtained. A practical thin film design task which is a broadband anti.reflection coating from the visible light to short-wave infrared is used to testify the ability and superiority of the clustering global optimization method.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2015年第9期365-370,共6页
Acta Optica Sinica
基金
国家自然科学基金(61306125)
吉林省科技发展计划(Y3453UM130
Y4703UJ140)
吉林省留学人员科技创新创业项目(Y3293UM130)
长春光机所领域前沿创新项目(Y3CX1SS143)
关键词
薄膜
膜系设计优化
聚类算法
全局优化算法
thin films
thin film design and optimization
clustering algorithm
global optimization algorithm
