This article shows the design of a non‐uniformly excited single ring circular antenna array (CAA) for the synthesis of optimal far‐field radiation characteristics. A recently proposed meta‐heuristic based optimization algorithm called gray wolf optimization (GWO) and state‐of‐the‐art swarm intelligence based evolutionary optimization technique known as particle swarm optimization with a distribution based update mechanism (PSOd) are individually applied to determine the optimum set of current excitation amplitude weights and the inter‐element spacing among the array elements to reduce the side lobe level and 3‐dB beamwidth considering the mutual coupling. The results obtained by employing PSOd and GWO are compared to those of the uniform radiation pattern and the recently published results of state‐of‐the‐art literature having equal sets of elements to show the superiority of employed approaches. Three different design examples of 8, 10, and 12 elements CAA are reported in this article to study the performances of PSOd and GWO algorithm‐based results over the results of other recently reported literature.

中文翻译：

---

考虑启发式方法相互耦合的最佳圆形天线阵列设计

本文介绍了用于综合最佳远场辐射特性的非均匀激发单环圆形天线阵列（CAA）的设计。新近提出的基于元启发式的优化算法称为灰狼优化（GWO）和基于最新群智能的进化优化技术，称为粒子群优化，并具有基于分布的更新机制（PSOd），可用于确定考虑到相互耦合，可以优化设置一组电流激励振幅权重和阵列元素之间的元素间距，以降低旁瓣电平和3 dB波束宽度。将采用PSOd和GWO的结果与均匀辐射图的结果以及具有相同要素集的最新发表的最新文献结果进行比较，以显示所采用方法的优越性。本文报道了8个，10个和12个元素CAA的三个不同的设计示例，以研究基于PSOd和GWO算法的结果相对于其他最近报道的文献的结果的性能。