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2023, Volume 20 (XXXVII), no 1

A Framework for Optimizing Antenna through Genetic Algorithm-based Neural Network

Author(s):
Sumeyye Korkmaz, Mohammad Alibakhshikenari, Lida Kouhalvandi
Electrical and Electronics Engineering Dept., Dogus University, Turkey
Signal Theory and Communications Dept., Universidad Carlos III de Madrid, Spain

Abstract:
In this research paper, the application of Artificial Neural Networks (ANN) for designing antennas is introduced. The primary objective of this optimization technique is to focus on the antenna’s parameters to achieve a desirable S11 value, which is a key metric of an antenna’s performance. To demonstrate the effectiveness of this approach, the optimization method to design three different antennas using the Numerical Analyzer (MATLAB) tool is employed. Through this study, it is tried to provide new insights into the optimization of antenna design using ANN and demonstrate its potential applications in the field of antenna engineering. The results of this research could potentially lead to the development of more efficient and effective antenna systems with improved performance in various applications.

DOI: https://doi.org/10.2478/amset-2023-0009

Pages: 49-53

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Update: 21-Mar-2024 © Published by University Press