BO-WQWO Algorithm for Improving the Efficiency of Uniform Linear Antenna Array

BO-WQWO Algorithm for Improving the Efficiency of Uniform Linear Antenna Array
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© 2023 by IJETT Journal
Volume-71 Issue-3
Year of Publication : 2023
Author : Y. Sahithi, P. Siddaiah
DOI : 10.14445/22315381/IJETT-V71I3P225

How to Cite?

Y. Sahithi, P. Siddaiah, "BO-WQWO Algorithm for Improving the Efficiency of Uniform Linear Antenna Array," International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 246-251, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I3P225

Abstract
The study explores the use of evolutionary algorithms called Biogeography Optimization – Weighed Quantum Wolf Optimization (BO-WQWO) in antenna array synthesis. Specifically, a network of Uniform Linear Antenna (ULA) using the amplitude control method is employed to investigate the effectiveness of GA using two different methods. The study deploys the novel bio-inspired algorithm, BO-WQWO, which is reviewed compared to traditional BO with the linear migration model. The study aims to minimize the lateral lobes by adjusting the excitation magnitudes of the matrix components. To form dummies in particular directions in the optimized model, a weight parameter is determined based on the cost function. Finally, the effectiveness of the proposed bioinspired algorithm is demonstrated by comparing it to other GA’s, such as ACO.

Keywords
Biogeography optimization, Weighed quantum wolf optimization, Bioinspired algorithm, Linear antenna array.

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