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使用家族竞争进化算法的光学涂层设计。

Optical coating designs using the family competition evolutionary algorithm.

作者信息

Yang J M, Horng J T, Lin C J, Kao C Y

机构信息

Department of Biological Science and Technology and Institute of Bioinformatics, National Chiao Tung University, Hsinchu, 30050, Taiwan.

出版信息

Evol Comput. 2001 Winter;9(4):421-43. doi: 10.1162/10636560152642850.

DOI:10.1162/10636560152642850
PMID:11709103
Abstract

A robust evolutionary approach, called the Family Competition Evolutionary Algorithm (FCEA), is described for the synthesis of optical thin-film designs. Based on family competition and adaptive rules, the proposed approach consists of global and local strategies by integrating decreasing mutations and self-adaptive mutations. The method is applied to three different optical coating designs with complex spectral quantities. Numerical results indicate that the proposed approach performs very robustly and is very competitive with other approaches.

摘要

一种名为家族竞争进化算法(FCEA)的强大进化方法被用于光学薄膜设计的合成。基于家族竞争和自适应规则,该方法通过整合递减变异和自适应变异,由全局和局部策略组成。该方法被应用于三种具有复杂光谱量的不同光学涂层设计。数值结果表明,所提出的方法表现非常稳健,并且与其他方法相比具有很强的竞争力。

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