ABSTRACT In this paper, thinned concentric circular antenna arrays (CCAAs) with low sidelobe levels and fixed half-power beamwidths are synthesized by using the Slime Mold Algorithm (SMA). SMA is a novel stochastic optimization method inspired by the oscillation mode of the slime mold in nature. Entering the literature as a new optimization technique, SMA is based on a matchless mathematical model that finds the most suitable way to find food in the search space thanks to the negative and positive oscillations of the slime mold. SMA is also used to obtain thinned CCAAs having different ring numbers. It is seen that the results obtained by SMA are very good. Besides, the flexibility of SMA in different values of parameters is a promising feature for the other antenna array synthesis problems. The results obtained by SMA are compared with several meta-heuristic algorithms in the literature. SMA shows a better performance in synthesizing CCAAs than the other compared algorithms.

中文翻译：

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基于粘液模算法的减薄同心圆天线阵列优化合成

摘要 在本文中，使用 Slime Mold 算法 (SMA) 合成了具有低旁瓣电平和固定半功率波束宽度的减薄同心圆天线阵列 (CCAA)。SMA 是一种新的随机优化方法，其灵感来自于自然界中粘液霉菌的振荡模式。作为一种新的优化技术进入文献，SMA 基于无与伦比的数学模型，由于粘液霉菌的负振荡和正振荡，它找到了在搜索空间中寻找食物的最合适方法。SMA 还用于获得具有不同环数的减薄 CCAA。可以看出，SMA得到的结果非常好。此外，SMA 在不同参数值中的灵活性是其他天线阵列合成问题的一个有前途的特征。SMA 获得的结果与文献中的几种元启发式算法进行了比较。与其他比较算法相比，SMA 在合成 CCAA 方面表现出更好的性能。