Recent developments in simulation-driven multi-objective design of antennas

• Autorzy: Koziel S. , Bekasiewicz A.

Identyfikatory

DOI

10.1515/bpasts-2015-0089

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

computer-aided design; CAD; antenna design; multi-objective optimization; surrogate models; evolutionary algorithms

PL

projektowanie wspomagane komputerowo; CAD; projektowanie anteny; model zastępczy; algorytmy ewolucyjne

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2015
• Tom: Vol. 63, nr 3
• Strony: 781--789
• Opis fizyczny: Bibliogr. 39 poz., rys., wykr., tab.

Twórcy

autor

Koziel S.

• Engineering Optimization & Modeling Center, School of Science and Engineering, Reykjavík University, Menntavegur 1, 101 Reykjavík, Iceland

autor

Bekasiewicz A.

• Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 11/12 Narutowicza St., 80-233 Gdansk, Poland

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