A Comparative Analysis of Evolutionary Algorithms for Synthesis of Scanned Linear Array of Mutually Coupled Parallel Dipole Antennas

Abstract

In order to synthesize a scanned linear array of evenly spaced parallel half wavelength dipole antennas, this work compares three evolutionary algorithms: the Backtracking Search Algorithm, the Cuckoo Search Algorithm, and the Artificial Bee Colony Algorithms. In this case, the broad null depth, reflection coefficient, and side lobe level of the antenna are taken into account for algorithm comparison. Additionally, statistical metrics are compared, including the mean, standard deviation, and greatest fitness value of the fitness values derived from algorithms. In order to produce radiation patterns, the mutual coupling between the antenna components is taken into account. The induced Electro-Motive Force technique is used to compute both the mutual and self-impedances. This study presents two distinct cases to verify the efficacy of the used method. This method may be used for different array geometries even though it is applied to a linear array of dipole antennas.