A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design

This work compares the performance of genetic programming (GP) against traditional fixed-length genome GA approaches on the optimization of wire antenna designs. We describe the implementation of a GP electromagnetic optimization system for wire structures. The results are compared with the traditio...

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Main Authors: P. J. Williams, T. C. A. Molteno
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2008/197849
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author P. J. Williams
T. C. A. Molteno
author_facet P. J. Williams
T. C. A. Molteno
author_sort P. J. Williams
collection DOAJ
description This work compares the performance of genetic programming (GP) against traditional fixed-length genome GA approaches on the optimization of wire antenna designs. We describe the implementation of a GP electromagnetic optimization system for wire structures. The results are compared with the traditional GA approach. Although the dimensionality of the search space is much higher for GP than GA, we find that the GP approach gives better results than GA for the same computational effort. In addition, we find that a more expressive antenna structure grammar, dramatically, improves the performance of the GP approach.
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series International Journal of Antennas and Propagation
spelling doaj-art-97e232a154c74122916002a2d82d797f2025-08-20T03:20:39ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772008-01-01200810.1155/2008/197849197849A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna DesignP. J. Williams0T. C. A. Molteno1Department of Physics, University of Otago, P.O. Box 56, 9016 Dunedin, New ZealandDepartment of Physics, University of Otago, P.O. Box 56, 9016 Dunedin, New ZealandThis work compares the performance of genetic programming (GP) against traditional fixed-length genome GA approaches on the optimization of wire antenna designs. We describe the implementation of a GP electromagnetic optimization system for wire structures. The results are compared with the traditional GA approach. Although the dimensionality of the search space is much higher for GP than GA, we find that the GP approach gives better results than GA for the same computational effort. In addition, we find that a more expressive antenna structure grammar, dramatically, improves the performance of the GP approach.http://dx.doi.org/10.1155/2008/197849
spellingShingle P. J. Williams
T. C. A. Molteno
A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design
International Journal of Antennas and Propagation
title A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design
title_full A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design
title_fullStr A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design
title_full_unstemmed A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design
title_short A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design
title_sort comparison of genetic programming with genetic algorithms for wire antenna design
url http://dx.doi.org/10.1155/2008/197849
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