Optical Coating Designs Using the Family Competition Evolutionary Algorithm
提出一种名为家族竞争进化算法的稳健进化方法，用于合成光学薄膜设计，通过整合全局与局部策略，在三个复杂光谱量的光学镀膜设计中表现稳健且具有竞争力。
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.