A hybrid boundary condition for robust particle swarm optimization

Huang, T; Mohan, AS

A hybrid boundary condition for robust particle swarm optimization

Huang, T Mohan, AS

Permalink

Publication Type:: Journal Article
Citation:: IEEE Antennas and Wireless Propagation Letters, 2005, 4 (1), pp. 112 - 117
Issue Date:: 2005-12-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (301.03 kB)

View on publisher's site

View statistics

Full metadata record

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	IEEE Antennas and Wireless Propagation Letters, 2005, 4 (1), pp. 112 - 117	en_US
dc.identifier.issn	1536-1225	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5871
dc.description.abstract	The particle swarm optimization (PSO) technique is a powerful stochastic evolutionary algorithm that can be used to find the global optimum solution in a complex search space. However, it has been observed that there is a great variation in its performance due to the dimensionality of the problem and the location of the global optimum with respect to the boundaries of the search space. The present paper attempts to resolve this problem by proposing a simple hybrid "damping" boundary condition that combines the characteristics offered by the existing "absorbing" and "reflecting" boundaries. Simulation results on microwave image reconstruction have shown that with the proposed "damping" boundary condition, a much robust and consistent optimization performance can be obtained for PSO regardless of the dimensionality and location of the global optimum solution. © 2005 IEEE.	en_US
dc.relation.ispartof	IEEE Antennas and Wireless Propagation Letters	en_US
dc.relation.isbasedon	10.1109/LAWP.2005.846166	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	A hybrid boundary condition for robust particle swarm optimization	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	4	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	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	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

The particle swarm optimization (PSO) technique is a powerful stochastic evolutionary algorithm that can be used to find the global optimum solution in a complex search space. However, it has been observed that there is a great variation in its performance due to the dimensionality of the problem and the location of the global optimum with respect to the boundaries of the search space. The present paper attempts to resolve this problem by proposing a simple hybrid "damping" boundary condition that combines the characteristics offered by the existing "absorbing" and "reflecting" boundaries. Simulation results on microwave image reconstruction have shown that with the proposed "damping" boundary condition, a much robust and consistent optimization performance can be obtained for PSO regardless of the dimensionality and location of the global optimum solution. © 2005 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/5871