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Cost-efficient multi-objective design optimization of antennas in highly-dimensional parameter spaces

Abstract

Multi-objective optimization of antenna structures in highly-dimensional parameter spaces is investigated. For expedited design, variable-fidelity EM simulations and domain patching algorithm are utilized. The results obtained for a monopole antenna with 13 geometry parameters are compared with surrogate-assisted optimization involving response surface approximation modeling.

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
International Review of Progress in Applied Computational Electromagnetics strony 1 - 2
Language:
English
Publication year:
2016
Bibliographic description:
Bekasiewicz A., Kozieł S..: Cost-efficient multi-objective design optimization of antennas in highly-dimensional parameter spaces, W: International Review of Progress in Applied Computational Electromagnetics, 2016, IEEE,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/ropaces.2016.7465370
Verified by:
Gdańsk University of Technology

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