Antenna optimization with a computationally efficient multiobjective evolutionary algorithm

Matthias John; Max J. Ammann

doi:10.1109/TAP.2008.2009775

Antenna optimization with a computationally efficient multiobjective evolutionary algorithm

Matthias John, Max J. Ammann

School of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

An efficient multiobjective evolutionary algorithm is described for optimizing a novel spline based printed monopole antenna. The antenna geometry is based on spline outlines. Both radiating element and groundplane are simultaneously optimized by the algorithm. The resulting antenna performance is evaluated. It is shown that the evolutionary algorithm and the spline geometry can be used to efficiently generate ultrawideband antennas on limited computing resources.

Original language	English
Pages (from-to)	260-263
Number of pages	4
Journal	IEEE Transactions on Antennas and Propagation
Volume	57
Issue number	1
DOIs	https://doi.org/10.1109/TAP.2008.2009775
Publication status	Published - 2009

Keywords

Antenna optimization
Multiobjective evolutionary algorithm
Spline
Ultrawideband (UWB) antenna

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10.1109/TAP.2008.2009775

https://arrow.tudublin.ie/engscheceart/24Licence: CC BY-NC-SA

Cite this

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abstract = "An efficient multiobjective evolutionary algorithm is described for optimizing a novel spline based printed monopole antenna. The antenna geometry is based on spline outlines. Both radiating element and groundplane are simultaneously optimized by the algorithm. The resulting antenna performance is evaluated. It is shown that the evolutionary algorithm and the spline geometry can be used to efficiently generate ultrawideband antennas on limited computing resources.",

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Antenna optimization with a computationally efficient multiobjective evolutionary algorithm

Abstract

Keywords

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