An Antenna Design Method Based on Guassian Process Surrogate Model and Differential Evolution Algorithm

In order to design the antenna that meets the requirements conveniently and reduce the tedious manual operation in the process of antenna optimization, a new antenna design method is proposed in this paper, which calls the Gaussian process surrogate model of antenna through differential evolution algorithm. According to the proposed method, when designing the antenna, we not only can optimize the physical parameters by intelligent optimization algorithm, but also avoid the huge time consumption caused by using electromagnetic simulation software. In this study, we apply the proposed method to the design experiment of WlAN dual band monopole antenna, and finally get a set of physical parameters, by these parameters, the antenna model response meets the design requirements.