A microparticle swarm optimizer for the reconstruction of microwave images

Huang, T; Sanagavarapu Mohan, A

A microparticle swarm optimizer for the reconstruction of microwave images

Huang, T Sanagavarapu Mohan, A

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Antennas and Propagation, 2007, 55 (3 I), pp. 568 - 576
Issue Date:: 2007-03-01

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Field	Value	Language
dc.contributor.author	Huang, T	en_US
dc.contributor.author	Sanagavarapu Mohan, A https://orcid.org/0000-0002-4503-5851	en_US
dc.date.issued	2007-03-01	en_US
dc.identifier.citation	IEEE Transactions on Antennas and Propagation, 2007, 55 (3 I), pp. 568 - 576	en_US
dc.identifier.issn	0018-926X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5870
dc.identifier.uri	http://hdl.handle.net/10453/33205
dc.identifier.uri	http://hdl.handle.net/10453/33204
dc.identifier.uri	http://hdl.handle.net/10453/33203
dc.description.abstract	A novel optimization technique known as the microparticle swarm optimizer (μPSO) is proposed for high-dimensional microwave image reconstruction. With the proposed μPSO, good optimization performance can be obtained especially for solving high-dimensional optimization problems. In addition, the proposed μPSO requires only a small population size to outperform the standard PSO that uses a larger population size. Our simulation results on the reconstruction of the dielectric properties of normal and malignant breast tissues have shown that the μPSO can perform quite well for this high-dimensional microwave image reconstruction problem. © 2007 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Antennas and Propagation	en_US
dc.relation.isbasedon	10.1109/TAP.2007.891545	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	A microparticle swarm optimizer for the reconstruction of microwave images	en_US
dc.type	Journal Article
utslib.citation.volume	3 I	en_US
utslib.citation.volume	55	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
dc.location.activity	ISI:000244969900006	en_US
dc.location.activity	University of Melbourne, Australia
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	open_access
pubs.issue	3 I	en_US
pubs.publication-status	Published	en_US
pubs.volume	55	en_US

Abstract:

A novel optimization technique known as the microparticle swarm optimizer (μPSO) is proposed for high-dimensional microwave image reconstruction. With the proposed μPSO, good optimization performance can be obtained especially for solving high-dimensional optimization problems. In addition, the proposed μPSO requires only a small population size to outperform the standard PSO that uses a larger population size. Our simulation results on the reconstruction of the dielectric properties of normal and malignant breast tissues have shown that the μPSO can perform quite well for this high-dimensional microwave image reconstruction problem. © 2007 IEEE.

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