Title: | Recent developments in simulation-driven multi-objective design of antennas |
Author: |
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Date: | 2015-09-23 |
Language: | English |
Scope: | 781-789 |
University/Institute: | Háskólinn í Reykjavík Reykjavik University |
School: | Tækni- og verkfræðideild (HR) School of Science and Engineering (RU) |
Department: | Engineering Optimization & Modeling Center (EOMC) (RU) |
Series: | Bulletin of the Polish Academy of Sciences Technical Sciences;63(3) |
ISSN: | 0239-7528 2300-1917 (eISSN) |
DOI: | 10.1515/bpasts-2015-0089 |
Subject: | Computer aided design; Antenna design; Multi-objective optimization; Surrogate models; Evolutionary algorithms; Particle swarm optimization; Genetic algorithm; Models; Loftnet; Tölvustudd hönnun; Bestun; Reiknirit |
URI: | https://hdl.handle.net/20.500.11815/1106 |
Citation:Koziel, S., & Bekasiewicz, A. (2015). Recent developments in simulation-driven multi-objective design of antennas, Bulletin of the Polish Academy of Sciences Technical Sciences, 63(3), 781-789. doi: https://doi.org/10.1515/bpasts-2015-0089
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Abstract:This paper addresses computationally feasible multi-objective optimization of antenna structures. We review two recent techniques that utilize the multi-objective evolutionary algorithm (MOEA) working with fast antenna replacement models (surrogates) constructed as Kriging interpolation of coarse-discretization electromagnetic (EM) simulation data. The initial set of Pareto-optimal designs is subsequently refined to elevate it to the high-fidelity EM simulation accuracy. In the first method, this is realized point-by-point through appropriate response correction techniques. In the second method, sparsely sampled high-fidelity simulation data is blended into the surrogate model using Co-kriging. Both methods are illustrated using two design examples: an ultra-wideband (UWB) monocone antenna and a planar Yagi-Uda antenna. Advantages and disadvantages of the methods are also discussed.
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Description:Publisher's version (útgefin grein)
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