An Investigation of the Performance Limits of Small, Planar Antennas Using Optimisation

This paper presents a generalised parametrisation as well as an approach to computational optimisation for small, planar antennas. A history of previous, more limited antenna optimisation techniques is discussed and a new parametrisation introduced in this context. Validation of this new approach ag...

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Published in:Procedia Computer Science
Main Authors: Hettenhausen, Jan, Lewis, Andrew, Thiel, David, Shahpari, Morteza
Format: Conference Object
Language:English
Published: Elsevier 2015
Subjects:
Optimisation
Information and computing sciences
Antennas and propagation
Iceland
Online Access:http://hdl.handle.net/10072/104583
https://doi.org/10.1016/j.procs.2015.05.394
id ftgriffithuniv:oai:research-repository.griffith.edu.au:10072/104583
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spelling ftgriffithuniv:oai:research-repository.griffith.edu.au:10072/104583 2024-06-23T07:54:00+00:00 An Investigation of the Performance Limits of Small, Planar Antennas Using Optimisation Hettenhausen, Jan Lewis, Andrew Thiel, David Shahpari, Morteza 2015-06-01 to 2015-06-03 Reykjavik Univ, Reykjavik, ICELAND 2015 http://hdl.handle.net/10072/104583 https://doi.org/10.1016/j.procs.2015.05.394 English eng Elsevier INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE 15th Annual International Conference on Computational Science (ICCS) http://hdl.handle.net/10072/104583 1877-0509 doi:10.1016/j.procs.2015.05.394 http://creativecommons.org/licenses/by-nc-nd/4.0/ © 2015 The Authors. Published by Elsevier B.V. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. You may not alter, transform, or build upon this work. open access Optimisation Information and computing sciences Antennas and propagation Conference output 2015 ftgriffithuniv https://doi.org/10.1016/j.procs.2015.05.394 2024-05-29T00:18:59Z This paper presents a generalised parametrisation as well as an approach to computational optimisation for small, planar antennas. A history of previous, more limited antenna optimisation techniques is discussed and a new parametrisation introduced in this context. Validation of this new approach against previously developed structures is provided and preliminary results of the optimisation are demonstrated and discussed. For the optimisation, a binary Multi- Objective Particle Swarm Optimisation (MOPSO) is used and several methods for generating a viable initial population are introduced and discussed in the context of practical limitations computational simulations. Information Services, Information Services Full Text Conference Object Iceland Griffith University: Griffith Research Online Procedia Computer Science 51 2307 2316
institution Open Polar
collection Griffith University: Griffith Research Online
op_collection_id ftgriffithuniv
language English
topic Optimisation
Information and computing sciences
Antennas and propagation
spellingShingle Optimisation
Information and computing sciences
Antennas and propagation
Hettenhausen, Jan
Lewis, Andrew
Thiel, David
Shahpari, Morteza
An Investigation of the Performance Limits of Small, Planar Antennas Using Optimisation
topic_facet Optimisation
Information and computing sciences
Antennas and propagation
description This paper presents a generalised parametrisation as well as an approach to computational optimisation for small, planar antennas. A history of previous, more limited antenna optimisation techniques is discussed and a new parametrisation introduced in this context. Validation of this new approach against previously developed structures is provided and preliminary results of the optimisation are demonstrated and discussed. For the optimisation, a binary Multi- Objective Particle Swarm Optimisation (MOPSO) is used and several methods for generating a viable initial population are introduced and discussed in the context of practical limitations computational simulations. Information Services, Information Services Full Text
format Conference Object
author Hettenhausen, Jan
Lewis, Andrew
Thiel, David
Shahpari, Morteza
author_facet Hettenhausen, Jan
Lewis, Andrew
Thiel, David
Shahpari, Morteza
author_sort Hettenhausen, Jan
title An Investigation of the Performance Limits of Small, Planar Antennas Using Optimisation
title_short An Investigation of the Performance Limits of Small, Planar Antennas Using Optimisation
title_full An Investigation of the Performance Limits of Small, Planar Antennas Using Optimisation
title_fullStr An Investigation of the Performance Limits of Small, Planar Antennas Using Optimisation
title_full_unstemmed An Investigation of the Performance Limits of Small, Planar Antennas Using Optimisation
title_sort investigation of the performance limits of small, planar antennas using optimisation
publisher Elsevier
publishDate 2015
url http://hdl.handle.net/10072/104583
https://doi.org/10.1016/j.procs.2015.05.394
op_coverage 2015-06-01 to 2015-06-03
Reykjavik Univ, Reykjavik, ICELAND
genre Iceland
genre_facet Iceland
op_relation INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE
15th Annual International Conference on Computational Science (ICCS)
http://hdl.handle.net/10072/104583
1877-0509
doi:10.1016/j.procs.2015.05.394
op_rights http://creativecommons.org/licenses/by-nc-nd/4.0/
© 2015 The Authors. Published by Elsevier B.V. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. You may not alter, transform, or build upon this work.
open access
op_doi https://doi.org/10.1016/j.procs.2015.05.394
container_title Procedia Computer Science
container_volume 51
container_start_page 2307
op_container_end_page 2316
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