An Efficient Peer-to-Peer Particle Swarm Optimiser for EMC Enclosure Design
| File | Size | Format | |
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| 52997_1.pdf | 51Kb | Adobe PDF | View |
| Title | An Efficient Peer-to-Peer Particle Swarm Optimiser for EMC Enclosure Design |
|---|---|
| Author | Scriven, Ian; Lu, Junwei; Lewis, Andrew |
| Publication Title | Proceedings 13th Biennial IEEE Conference on Electromagnetic Field Computation |
| Editor | T.D. Tsiboukis |
| Year Published | 2008 |
| Publisher | IEEE |
| Abstract | This paper proposes a method for designing EMC shielding enclosures using a peer-to-peer based distributed optimisation system based on a modified particle swarm optimisation (PSO) algorithm. This optimisation system is used to efficiently obtain optimal solutions to a shielding enclosure design problem by sampling only a small fraction of the total problem space. Such a system would find use in environments where large scale computing resources are not available, such as smaller engineering companies, where it would allow computer-aided design by optimisation using existing resources with little to no financial outlay. |
| Peer Reviewed | No |
| Published | Yes |
| Publisher URI | http://ieeexplore.ieee.org |
| Alternative URI | http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001092 |
| Copyright Statement | Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Conference name | The Thirteenth Biennial IEEE Conference on Electromagnetic Field Computation (CEFC 2008) |
| Location | Athens, Greece |
| Date From | 2008-05-11 |
| Date To | 2008-05-15 |
| URI | http://hdl.handle.net/10072/24744 |
| Date Accessioned | 2009-03-05 |
| Date Available | 2009-09-11T04:59:53Z |
| Language | en_AU |
| Research Centre | Centre for Wireless Monitoring and Applications |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | Electrical and Electronic Engineering; PRE2009-Optimisation |
| Publication Type | Conference Publications (Extract Paper) |
| Publication Type Code | e3 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/24744
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