Antenna Optimization With a Computationally Efficient Multiobjective Evolutionary Algorithm

Author

John, Matthias ; Ammann, Max J.

Author_Institution

Sch. of Electron. & Commun. Eng., Dublin Inst. of Technol., Dublin

Volume

57

Issue

1

fYear

2009

Firstpage

260

Lastpage

263

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.

Keywords

computational geometry; evolutionary computation; microstrip antennas; monopole antennas; splines (mathematics); ultra wideband antennas; antenna geometry; antenna optimization; multiobjective evolutionary algorithm; spline based printed monopole antenna; ultra wideband antennas; Algorithm design and analysis; Computational geometry; Concurrent computing; Evolutionary computation; Genetic algorithms; Optimization methods; Particle swarm optimization; Spline; Ultra wideband antennas; Ultra wideband technology; Antenna optimization; multiobjective evolutionary algorithm; spline; ultrawideband (UWB) antenna;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2008.2009775

Filename

4797981