Dipole-Loaded Monopole Optimized Using VSO, v.3

TL;DR

This paper presents a new optimization algorithm, VSO, applied to design a dipole-loaded monopole antenna for uniform hemispherical coverage, demonstrating superior performance over traditional algorithms.

Contribution

Introduction of VSO, a novel global search algorithm, and its application to optimize antenna design, outperforming genetic algorithms and hill-climbers.

Findings

VSO outperforms genetic algorithms in antenna optimization.

VSO achieves better coverage uniformity.

VSO demonstrates superior results on benchmark functions.

Abstract

A dipole-loaded monopole antenna is optimized for uniform hemispherical coverage using VSO, a new global search design and optimization algorithm. The antenna's performance is compared to genetic algorithm and hill-climber optimized loaded monopoles, and VSO is tested against two suites of benchmark functions and several other algorithms.