5G的发展推动了通讯设备的小型化、集成化，也带来了新的电磁兼容问题，而将频率选择表面（FSS）引入设备可显著减少设备之间的干扰。为克服传统FSS设计方法效率低、质量差和依赖经验等缺陷，提出了一种新型FSS形状优化方法。该方法根据FSS的形状特性，提出了在极坐标系下分区定义形状优化参数的策略，并基于遗传算法实现了FSS优化参数的智能搜索，实现了以工作频率和电磁屏蔽性能为目标的FSS单元形状智能优化。采用实心单元、环形单元和缝隙单元 3种结构类型算例进行验证，结果表明，优化后FSS谐振频率向28GHz移动且电磁屏蔽性能提高，得到的FSS适用于5G环境，且具有良好的稳定性。

The development of 5G has promoted the miniaturization and integration of communication equipment，but it also leads to new electromagnetic compatibility problems.Introducing Frequency Selective Surface (FSS) into devices can effectively reduce the interference between devices.In order to overcome the weaknesses of traditional design methods，such as low efficiency，poor quality and dependence on experience，a new FSS shape optimization method was proposed herein.The proposed method presented a strategy to define the shape optimization parameters in the polar coordinate system according to the non-self-intersecting characteristics of FSS.Furthermore，based on the genetic algorithm，the method realized the intelligent search of parameters optimized by FSS and realized the intelligent optimazition of FSS unit shape in terms of the operating frequency and electromagnetic shielding performance.Three numerical examples including solid，ring and slot units have been used to verify the proposed method.The results show that the optimized FSS resonant frequency moves to 28GHz and its electromagnetic shielding performance is improved.The FSS obtained by the proposed method is stable and suitable for 5G environment.