Surrogate Model Assisted Design of CSRR Structure using Genetic Algorithm for Microstrip Antenna Application
Loading...
Date
2020-04
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Altmetrics
Abstract
Soft-computational approaches have enabled quicker and more efficient means for antenna design. In the present work, a genetic algorithm (GA) based method is reported for the design of complementary split ring resonator (CSRR) structures for antenna design. A multi-objective optimization problem is formulated to design the antenna. The cost function of the optimization problem is calculated from a surrogate model of the CSRR structure. The surrogate model is created first using an analytical model of the CSRR structure and then using an artificial neural network (ANN). A comparative study of the result shows that the ANN based surrogate model is more accurate compared to the surrogate model using an analytical model. An antenna with an integrated filter is built using a CSRR structure designed using the proposed method. The performance of the antenna is validated from simulation and measurement results.
Description
Citation
Radioengineering. 2020 vol. 29, č. 1, s. 117-124. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2019/20_01_0117_0124.pdf
https://www.radioeng.cz/fulltexts/2019/20_01_0117_0124.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en