基于V型变异二进制粒子群算法的天线拓扑优化

Antenna Topology Optimization Based on V-shaped Mutation Binary Particle Swarm Optimization

提出了一种基于V型变异二进制粒子群算法(VMBPSO)的天线拓扑优化方法,旨在突破天线尺寸优化时初始模型结构对性能拓展的限制,提高设计自由度。首先,引入了一种新的V型转换函数,避免了原始BPSO算法中由于速度值过大而导致的早熟问题。此外,引入了一种变异算子M,通过对粒子进行自适应变异,保证种群多样性的同时提高了算法的局部搜索能力。为了验证该优化方法的有效性,利用其优化微带贴片天线。实验结果表明,该方法可以根据目标函数灵活设计天线,以中心频点在2.45GHz、3.5GHz、5.8GHz的三频段天线设计任务为例,算法仅需649次全波电磁仿真即可收敛至目标解。

An antenna topology optimization method based on V-type mutation binary particle swarm optimization(VMBPSO)is proposed,aiming to break through the limitation of the initial model structure on performance expansion during antenna size optimization and improve the design freedom.First,a new V-type transfer function is introduced to avoid the premature problem caused by excessive velocity value in the original BPSO algorithm.In addition,a mutation operator M is introduced to improve the local search ability of the algorithm while ensuring the diversity of the population by adaptively mutating the particles.In order to verify the effectiveness of the optimization method,it is used to optimize the microstrip patch antenna.The experimental results show that this method can flexibly design the antenna according to the objective function.Taking the three-band antenna design task with center frequencies of 2.45 GHz,3.5 GHz and 5.8 GHz as an example,the algorithm converged to the target solution after only 649 full-wave electromagnetic simulations.