一种基于遗传算法的光学薄膜优化设计方法

本文依据遗传算法的基本思想,立足光学薄膜领域,介绍了采用遗传算法进行光学薄膜设计优化的一种实现方法——包括"建立种群""建立适应度函数""选择""交叉""变异"和"精英保护"等方面的详细操作步骤。基于该方法,给出了一个在400nm~900nm光谱区间内实现4个通带的优化设计实例,其结果表明该方法在膜系设计中能够起到较好的优化效果。文章在最后指出,该方法仅仅实现了简单的遗传算法,在运行效率和优化能力等方面还有较大的提升空间。

An Optimization for Optical Coating Design Based on Genetic Algorithm

According to the basic idea of genetic algorithm and focusing on the field of optical coating, this paper introduced a way to implement genetic algorithm for optical coating designing optimization. This approach included detailed operational steps in"building population""building fitness function""selection""crossover""mutation"and"elitist strategy". Based on this method,an optimal design example of implementing 4 passbands in 400-900 nm was given. The result shows that this method can achieve better optimization effect in coating system design. At the end of the paper, we pointed out that this method only realized simple genetic algorithm, and it had a large space for improvement in operation efficiency and optimization ability.