基于遗传-粒子群变异算法的超材料吸波体设计
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国家自然科学基金(52166001)


Design of Metamaterial Absorber Based on Genetic Particle Swarm Mutation Algorithm
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    摘要:

    针对超材料吸波体在设计过程中消耗时间过多且设计效果不佳等问题,提出遗传-粒子群变异算法。将二进制编码后的超材料吸波体表面结构作为优化对象,经过遗传-粒子群变异算法优化后,得到一个具有高适应度值的超材料吸波体结构。COMSOL仿真结果表明,该吸波体在9.3~17.4 GHz频段内对正入射电磁波的吸波率大于90%,吸波带宽为8.1 GHz。该设计方法具有易于实现、设计时间短、吸波体具有宽带吸波等特点,大大降低了超材料吸波体的设计难度。

    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.

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戴书浩.基于遗传-粒子群变异算法的超材料吸波体设计[J].,2026,45(04).

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  • 收稿日期:2024-12-01
  • 最后修改日期:2025-01-16
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  • 在线发布日期: 2026-05-11
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