NDLI: Computationally efficient multi-objective optimization of and experimental validation of Yagi-Uda antenna

Content Provider	IEEE Xplore Digital Library
Author	Bekasiewicz, Adrian Koziel, Slawomir Leifsson, Leifur
Copyright Year	2014
Description	Author affiliation: Engineering Optimization & Modeling Center, Reykjavik University, Menntavegur 1, 101, Iceland (Koziel, Slawomir; Leifsson, Leifur) \|\| Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233, Poland (Bekasiewicz, Adrian)
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 engine 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 simulations.
Starting Page	798
Ending Page	805
File Size	856440
Page Count	8
File Format	PDF
ISBN	9789897580604
DOI	10.5220/0005136607980805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-28
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	SCITEPRESS
Subject Keyword	Algorithm design and analysis Yagi-Uda antennas Design Optimization Computational modeling Approximation methods Simulation-Driven Design Optimization Multi-Objective Optimization Antenna Design Radio frequency Electromagnetic Simulation Surrogate-based Optimization Design Space Reduction
Content Type	Text
Resource Type	Article

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