摘要
目前光学薄膜设计大多为单目标寻优设计,难以满足一些复杂光学薄膜的需求。构建出光学薄膜的多目标优化膜系,设计一种新型、高效的多目标遗传算法(DMOGA)用于模型的求解。该算法使用基于支配关系的选择策略、基于动态聚集距离削减非支配解集规模、动态调整算法运行参数等策略使得DMOGA不仅容易实现,而且能得到较好分布性和逼近性的解。将DMOGA应用于光学薄膜的优化设计实例中,取得良好的效果,表明了多目标优化在光学薄膜设计中的有效性以及应用前景。
At present, nearly all optimization methods used for optical thin film design can seek only one object, which is difficult to meet the complex needs of optical thin films. So, the multi-objective optimization model of optical thin film and a new multi-objective genetic algorithm （DMOGA） are proposed. In DMOGA, a method based on non- dominated relationship is used in choosing operator. Solution with qualified distributivity and approximation by shrink of the population of non-dominated set is achieved based on dynamic crowding distance and the algorithm parameters are adjusted dynamically to improve the efficiency of algorithm. Some examples of optical thin film designs are solved by DMOGA. The results show that DMOGA is a useful algorithm for multi-objective problems and may have a bright future in optical thin film design,
出处
《激光与光电子学进展》
CSCD
北大核心
2011年第7期168-173,共6页
Laser & Optoelectronics Progress
基金
山西省自然科学基金(2008011027-1)资助课题
关键词
薄膜
优化设计
多目标
遗传算法
thin films
optimization
multi-objective
genetic algorithm
