Gopinath Gampala and C.J. Reddy

Abstract-”Traditional antenna optimization solves the

modified version of the original antenna design for each iteration.

Thus, the total time required to optimize a given antenna design is

highly dependent on the convergence criteria of the selected

algorithm and the time taken for each iteration. The use of

machine learning enables the antenna designer to generate trained

mathematical model that replicates the original antenna design

and then apply optimization on the trained model. Use of trained

model allows to run thousands of optimization iterations in a span

of a few seconds