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This paper aims to introduce the Ant hill colonization optimizationalgorithm(AHCOA) to the electromagnetics and antenna community. The ant hill isbuilt by special species of ants known as formicas ants(also meadow ants, fireants and harvester ants). AHCOA is a novel new nature inspired algorithmmimicking how the ants built and sustain the ant hill for their survival andsustenance for many years. This problem solves constrained and unconstrainedoptimization problems with wide capability in diverse fields. AHCOA is used bywriting equations of volumetric analysis of the ant hill mould the manner inwhich the structure is architected. In this paper, we have shown how AHCOA isbetter than the previous paper on ant lion optimizer for controlling side lobein antenna pattern synthesis in paper [1]. The potential of AHCOA insynthesizing and analyzing for d/ varying from 1.1,0.6,0.5,0.3 and 0.1 lineararray is also illustrated. Antenna side lobe level minimization is comparedwith ant lion optimizer showing why AHCOA is better than the previouslysimulated ant lion optimizer for side lobe control. The results show why lineararrays are better synthesized for AHCOA then other algorithms used in planararrays. This paper shows why AHCOA is a strong candidate for antennaoptimization used in linear arrays.

Ant Hill Colonization optimization algorithm(AHCOA) for controlling the side lobe of a uniform linear array