  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.
