Multi-objective design of UWB antennas using surrogate-based optimization

Author

Koziel, Slawomir ; Ogurtsov, Stanislav

Author_Institution

Eng. Optimization & Modeling Center, Reykjavik Univ., Reykjavik, Iceland

fYear

2013

fDate

7-13 July 2013

Firstpage

210

Lastpage

211

Abstract

A procedure for multi-objective design of ultra-wideband (UWB) antennas is presented. The goal is to reduce the antenna size while ensuring that the matching requirements are satisfied. Our approach exploits the multi-objective evolutionary algorithm (MOEA) working with a fast surrogate model of the antenna obtained with kriging interpolation of coarse-discretization simulation data. Response correction techniques are subsequently applied to refine the designs obtained by MOEA. Our methodology allows us to obtain-at a low computational cost-a set of designs corresponding to various trade-offs between antenna size and matching.

Keywords

evolutionary computation; optimisation; ultra wideband antennas; UWB antennas; antenna size; coarse-discretization simulation data; kriging interpolation; low computational cost; multiobjective evolutionary algorithm; surrogate-based optimization; ultrawideband antennas; Computational modeling; Optimization; Radio frequency; Reflection; Reflector antennas; Ultra wideband antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE

Conference_Location

Orlando, FL

ISSN

1522-3965

Print_ISBN

978-1-4673-5315-1

Type

conf

DOI

10.1109/APS.2013.6710766

Filename

6710766