基于改进飞蛾扑火算法的微带天线设计优化

Microstrip Antenna Design Optimization Based on Improved Moth-flame Optimizer

为解决工程中的非线性优化问题,提出一种改进的飞蛾扑火算法。首先,采用均匀化设计思想,将佳点集理论应用于种群初始化,并将越界重置策略引入算法,针对超出解空间的个体做出干预;然后,将引力搜索算法改进并融合于飞蛾扑火算法迭代机制中,提出一种新的动态引力系数,增加算法的寻优性能;最后,为了避免算法陷入局部最优,对个体进行柯西变异,提升算法的全局搜索能力。将改进算法应用于窄缝开槽微带天线的优化设计,端口隔离度降低了14.5 dB,回波损耗降低约6 dB。

In order to solve the nonlinear optimization problem in engineering,this paper proposes an improved moth-flame algorithm.Firstly,the algorithm adopts design philosophy of homogenization,and applies the good-point set to population initialization,the overstepping-reset strategy is introduced into the algorithm to intervene the individuals beyond the solution space.Then,the improved gravitational search algorithm is integrated into the iteration of moth-flame algorithm,and a new dynamic gravitational coefficient is proposed to increase the optimization performance of the algorithm.Finally,in order to avoid the algorithm falling into the local optimum,the Cauchy mutation is carried out on the individual to improve the global search ability of the algorithm.The improved algorithm is applied to the optimal design of narrow-slot microstrip antenna,experimental results show that port isolation was reduced by 14.5 dB and the return loss was reduced by about 6 dB.