A Comparative Analysis of Evolutionary Algorithms for Synthesis of Scanned Linear Array of Mutually Coupled Parallel Dipole Antennas
Abstract
This paper presents a comparative analysis of three
evolutionary algorithms, namely, Backtracking Search Algorithm,
Cuckoo Search Algorithm and Artificial Bee Colony Algorithms for
synthesis of a scanned linear array of uniformly spaced parallel half
wavelength dipole antennas. Here, antenna parameters, namely Side
Lobe Level, reflection coefficient and wide null depth are taken into
consideration for comparison between algorithms. In addition to it,
statistical parameters, namely best fitness value, mean and standard
deviation of the fitness values obtained from algorithms are compared.
Mutual coupling that exists among the antenna elements is included in
obtaining radiation patterns and the self-impedances along with the
mutual impedances are calculated by induced Electro-Motive Force
method. Two different examples are shown in this paper to validate the
effectiveness of the utilized approach. Although, this approach is applied
to a linear array of dipole antennas; this can be utilized for other array
geometries as well.
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