JOURNAL ARTICLE

A Framework for Optimizing Antenna Through Genetic Algorithm-Based Neural Network

Sümeyye KorkmazMohammad AlibakhshikenariLida Kouhalvandi

Year: 2023 Journal:   Acta Marisiensis Seria Technologica Vol: 20 (1)Pages: 49-53   Publisher: De Gruyter

Abstract

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 S 11 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.

Keywords:
Antenna (radio) Computer science Genetic algorithm MATLAB Artificial neural network Electronic engineering Metric (unit) Focus (optics) Key (lock) Field (mathematics) Performance metric Algorithm Engineering Telecommunications Artificial intelligence Machine learning Mathematics

Metrics

3
Cited By
1.56
FWCI (Field Weighted Citation Impact)
9
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Antenna Design and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Microwave Engineering and Waveguides
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Antenna Design and Analysis
Physical Sciences →  Engineering →  Aerospace Engineering

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