Optimization of the Matching Network for using Genetic Algorithm

TL;DR

This paper explores optimizing the matching network of microstrip-like antennas using genetic algorithms to minimize input reflection, demonstrating effective results aligned with existing methods.

Contribution

It introduces a genetic algorithm-based approach for optimizing MLA matching networks, providing a systematic procedure and comparative analysis.

Findings

Genetic algorithm effectively reduces input reflection in MLA.

Results align well with existing literature.

The method offers a systematic optimization procedure.

Abstract

Microstrip-like antenna (MLA) which was developed nearly a decade ago, is a powerful radiating element. The primary challenge in designing a MLA is to provide an optimized matching network such that the overall input reflection is kept as low as possible within the required bandwidth. In this paper, the necessity and procedure of applying genetic algorithm to MLA problems has been presented. Comparison with the existing literature shows good agreement in the overall input reflection.