This paper presents a novel multi-objective naked mole-rat (MONMR) algorithm to optimize two printed monopole patch antenna structures for ultrawideband (UWB) applications. The design includes basic-ultrawideband and triple band-notch characteristic antennas. The performance of MONMR is evaluated for two objectives: minimize pass-band signal reflection and maximize the gain of the antenna. In resultant, MONMR provided multiple optimum antenna designs instead of a single antenna design by mapping solutions to the Pareto-front (PF) boundary in the objective space. The simulated results matched with the experimental results and hence MONMR has proved to be an effective approach in the field of electromagnetics. Moreover, the obtained PF designs are better than the reported UWB antennas in terms of the gain and reflection coefficient.

本文提出了一种新颖的多目标裸鼹鼠 (MONMR) 算法，用于优化超宽带 (UWB) 应用的两种印刷单极贴片天线结构。该设计包括基本超宽带和三带陷波特性天线。MONMR 的性能评估有两个目标：最小化通带信号反射和最大化天线增益。最终，MONMR 通过将解决方案映射到目标空间中的帕累托前沿 (PF) 边界，提供了多个最佳天线设计，而不是单个天线设计。模拟结果与实验结果相吻合，因此 MONMR 被证明是电磁学领域的一种有效方法。此外，所获得的PF设计在增益和反射系数方面优于报道的UWB天线。