Research on 2D Honeycomb Layout Based on Binary Particle Swarm Optimization Algorithm

In this paper, a two-dimensional honeycomb absorbing structure layout method based on binary particle swarm optimization (BPSO) algorithm is proposed. Firstly, the two-dimensional honeycomb is modeled, and its scattering is calculated by combining the two-dimensional moment method. Finally, the binary particle swarm optimization algorithm is used to optimize it. By adopting this method, the monostatic RCS (Radar Cross Section) of the final optimized cellular layout of the two schemes is reduced by 9.01dB and 10.88dB respectively compared with that of the initial layout. After optimization, the peak of RCS has been obvious improved. The results show that this optimization method has certain application value in the research of honeycomb absorbing materials.