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针对超材料优化设计参数多、权重各异的特点,提出一种基于加权实数编码的遗传算法,该算法采用等位基因或双倍基因实现对遗传基因的加权编码,是二进制编码中加权思想的推广,与普通遗传算法相比,加权实数编码遗传算法加入了人工选择因素,既可以加快种群收敛速度,又可以提高算法的求解质量,尤其适用于种群规模较大的遗传优化计算,文中以一个超材料吸波体的优化设计为例,对算法进行了验证。
Aimed at the characteristics of metamaterials’ optimal design parameters and different weights, a genetic algorithm based on weighted real number coding is proposed, which uses the alleles or double genes to realize the weighted coding of the genetic genes. It is a weighted idea in binary coding Compared with the general genetic algorithm, the weighted real coding genetic algorithm adds artificial selection factors, which can not only accelerate the speed of population convergence, but also improve the quality of the algorithm. It is especially suitable for large-scale genetic optimization calculation. In this paper, The optimization design of metamaterial absorber is taken as an example, the algorithm is verified.