Performance Analysis Of Cellular Automata Monte Carlo Simulation For Estimating Network Reliability

Yeh, W; Lin, Y; Chung, YY

Performance Analysis Of Cellular Automata Monte Carlo Simulation For Estimating Network Reliability

Yeh, W Lin, Y Chung, YY

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Publisher:: Pergamon-Elsevier Science Ltd
Publication Type:: Journal Article
Citation:: Expert Systems With Applications, 2010, 37 (5), pp. 3537 - 3544
Issue Date:: 2010-01

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Field	Value	Language
dc.contributor.author	Yeh, W	en_US
dc.contributor.author	Lin, Y	en_US
dc.contributor.author	Chung, YY	en_US
dc.date.issued	2010-01	en_US
dc.identifier.citation	Expert Systems With Applications, 2010, 37 (5), pp. 3537 - 3544	en_US
dc.identifier.issn	0957-4174	en_US
dc.identifier.uri	http://hdl.handle.net/10453/14472
dc.description.abstract	Network reliability is very important for the decision support information. Monte Carlo Simulation (MCS) is one of the optimal algorithms to estimate the network reliability for different kinds of network configuration. The traditional reliability estima	en_US
dc.publisher	Pergamon-Elsevier Science Ltd	en_US
dc.relation.ispartof	Expert Systems With Applications	en_US
dc.relation.isbasedon	10.1016/j.eswa.2009.09.070	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Performance Analysis Of Cellular Automata Monte Carlo Simulation For Estimating Network Reliability	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	37	en_US
utslib.location.activity	ISI:000274594300003	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
dc.location.activity	ISI:000274594300003	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 Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.issue	5	en_US
pubs.volume	37	en_US

Abstract:

Network reliability is very important for the decision support information. Monte Carlo Simulation (MCS) is one of the optimal algorithms to estimate the network reliability for different kinds of network configuration. The traditional reliability estima

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http://hdl.handle.net/10453/14472