Significance of neighborhood topologies for the reconstruction of microwave images using particle swarm optimization

Huang, T; Mohan, AS

Significance of neighborhood topologies for the reconstruction of microwave images using particle swarm optimization

Huang, T Mohan, AS

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Publication Type:: Conference Proceeding
Citation:: Asia-Pacific Microwave Conference Proceedings, APMC, 2005, 1
Issue Date:: 2005-12-01

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Field	Value	Language
dc.contributor.author	Huang, T	en_US
dc.contributor.author	Mohan, AS https://orcid.org/0000-0002-4503-5851	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	Asia-Pacific Microwave Conference Proceedings, APMC, 2005, 1	en_US
dc.identifier.isbn	078039433X	en_US
dc.identifier.isbn	9780780394339	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2937
dc.description.abstract	Recently, the use of the particle swarm optimization (PSO) technique for the reconstruction of microwave images has been reported. However, the standard version of the PSO technique may suffer from the problem of premature convergence, as the particles are communicating through a fully connected social structure. In this paper, different social structures have been considered for better performances of the PSO technique, and simulation results have shown that neighborhood topologies such as the lbest and von Neumann topologies should be considered for global optimization problems such as the reconstruction of microwave images. © 2005 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0346540
dc.relation.ispartof	Asia-Pacific Microwave Conference Proceedings, APMC	en_US
dc.relation.isbasedon	10.1109/APMC.2005.1606233	en_US
dc.title	Significance of neighborhood topologies for the reconstruction of microwave images using particle swarm optimization	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
dc.location.activity	Suzhou, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

Recently, the use of the particle swarm optimization (PSO) technique for the reconstruction of microwave images has been reported. However, the standard version of the PSO technique may suffer from the problem of premature convergence, as the particles are communicating through a fully connected social structure. In this paper, different social structures have been considered for better performances of the PSO technique, and simulation results have shown that neighborhood topologies such as the lbest and von Neumann topologies should be considered for global optimization problems such as the reconstruction of microwave images. © 2005 IEEE.

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http://hdl.handle.net/10453/2937