The aim of this paper is to introduce AHCOA to the electromagnetic and antenna community. AHCOA is a new nature inspired meta heuristic algorithm inspired by how there is a hierarchy and departments in the ant hill colonization. It has high probabilistic potential in solving not only unconstrained but also constrained optimization problems. In this paper the AHCOA is applied to linear antenna array for better pattern synthesis in the following ways : By uniform excitation considering equal spacing of the antenna elements with respect to the uniform array. AHCOA is used in obtaining an array pattern to achieve minimum side lobe levels. The results are compared to other state of the art nature based algorithms such as ant lion optimizer, which show a considerable improvement in AHCOA.

翻译：本文的目的是向电磁和天线界介绍AHCOA。AHCOA是一种新性质,它受蚂蚁山殖民化的等级和部门的影响,它是一种新性质,激发了新结构的超超常算法,它不仅在解决不受限制和受限制的优化问题方面具有很高的概率潜力。在本文中,AHCOA被用于线性天线阵列,以便以下列方式进行更好的模式合成:通过统一引用,考虑天线元素与统一阵列的相等间距。AHCOA被用于获得一个阵列模式,以达到最小的侧叶水平。结果与其他基于艺术性质的算法,如蚂狮优化法相比,这表明AHCOA有很大改进。