Title
A Multiobjective Genetic Algorithm for Analysis, Design and optimization of Antipodal Vivaldi Antennas
Date Issued
01 September 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
In the this contribution, a Multi-Objective Genetic Algorithm (MOGA) was implemented to analyze, design and optimize several Antipodal Vivaldi Antennas (AVA) that are being used on Ground Penetration Radars (GPR) applications. This algorithm was implemented and used as an optimization tool in a commercial available software. Directivity, lower cutoff frequency (LCF), bandwidth and cross-polarization were the objectives to be optimized. For the use of the MOGA, the 3D model of the antenna is built in the simulator. Some of its parameters are defined as variables, as the dimensions and shape of the antenna (Individual) depend on the value that its parameters (Genes) take. This work proves to be simple and time saving tool to optimize parameters in a geometry changing system as GPR.
Start page
316
End page
321
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Subjects
Scopus EID
2-s2.0-85074349041
ISBN
9781728105666
Resource of which it is part
Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019
ISBN of the container
9781728105666
Conference
Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019
Sources of information:
Directorio de Producción Científica
Scopus