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Authors: Adrian Bekasiewicz 1 ; Slawomir Koziel 2 and Leifur Leifsson 2

Affiliations: 1 Gdansk University of Technology, Poland ; 2 Reykjavik University, Iceland

ISBN: 978-989-758-038-3

Keyword(s): Antenna Design, Design Optimization, Multi-Objective Optimization, Electromagnetic Simulation, Simulation-Driven Design, Design Space Reduction, Surrogate-based Optimization.

Abstract: In this paper, computationally efficient multi-objective optimization of antenna structures is discussed. As a design case, we consider a multi-parameter planar Yagi-Uda antenna structure, featuring a driven element, three directors, and a feeding structure. Direct optimization of the high-fidelity electromagnetic (EM) antenna model is prohibitive in computational terms. Instead, our design methodology exploits response surface approximation (RSA) models constructed from sampled coarse-discretization EM simulation data. The RSA model is utilized to determine the Pareto optimal set of the best possible trade-offs between conflicting objectives. In order to alleviate the difficulties related to a large number of designable parameters, the RSA model is constructed in the initially reduced design space, where the lower/upper parameter bounds are estimated by solving appropriate single-objective problems resulting in identifying the extreme point of the Pareto set. The main optimization en gine is multi-objective evolutionary algorithm (MOEA). Selected designs are subsequently refined using space mapping technique to obtain the final representation of the Pareto front at the high-fidelity EM antenna model level. The total design cost corresponds to less than two hundred of EM antenna imulations. (More)

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Paper citation in several formats:
Bekasiewicz, A.; Koziel, S. and Leifsson, L. (2014). Computationally Efficient Multi-Objective Optimization of and Experimental Validation of Yagi-Uda Antenna.In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SDDOM, (SIMULTECH 2014) ISBN 978-989-758-038-3, pages 798-805. DOI: 10.5220/0005136607980805

@conference{sddom14,
author={Adrian Bekasiewicz. and Slawomir Koziel. and Leifur Leifsson.},
title={Computationally Efficient Multi-Objective Optimization of and Experimental Validation of Yagi-Uda Antenna},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SDDOM, (SIMULTECH 2014)},
year={2014},
pages={798-805},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005136607980805},
isbn={978-989-758-038-3},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SDDOM, (SIMULTECH 2014)
TI - Computationally Efficient Multi-Objective Optimization of and Experimental Validation of Yagi-Uda Antenna
SN - 978-989-758-038-3
AU - Bekasiewicz, A.
AU - Koziel, S.
AU - Leifsson, L.
PY - 2014
SP - 798
EP - 805
DO - 10.5220/0005136607980805

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