兵工自动化2026，Vol.45Issue(4)：78-84,7.DOI:10.7690/bgzdh.2026.04.016
基于遗传-粒子群变异算法的超材料吸波体设计
Design of Metamaterial Absorber Based on Genetic Particle Swarm Mutation Algorithm
摘要
Abstract
Aiming at the problems of consuming too much time and poor design effect in the design process of metamaterial absorbers,a genetic-particle swarm optimization mutation algorithm is proposed.The metamaterial absorber surface structure with binary coding is taken as the optimization object,and a metamaterial absorber structure with high fitness value is obtained after the optimization of the genetic-particle swarm optimization mutation algorithm.The COMSOL simulation results show that the absorbing rate of the absorber is more than 90%for normal incident electromagnetic waves in the frequency band of 9.3 to 17.4 GHz,and the absorbing bandwidth is 8.1 GHz.The design method has the characteristics of easy realization,short design time,broadband wave absorption of the wave absorber and the like,and the design difficulty of the metamaterial wave absorber is greatly reduced.关键词
超材料/吸波体/遗传算法/粒子群算法Key words
metamaterial/absorber/genetic algorithm/particle swarm optimization分类
通用工业技术引用本文复制引用
戴书浩,孙俊,张莉..基于遗传-粒子群变异算法的超材料吸波体设计[J].兵工自动化,2026,45(4):78-84,7.基金项目
国家自然科学基金(52166001) （52166001）
