An Interactive Augmented Max-Min Mcs-Rsm Method For The Multi-Objective Network Reliability Problem

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dc.contributor.author Yeh, Wei-Chang en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T11:04:37Z
dc.date.available 2012-02-02T11:04:37Z
dc.date.issued 2007 en_US
dc.identifier 2010004112 en_US
dc.identifier.citation Yeh Wei-Chang 2007, 'An Interactive Augmented Max-Min Mcs-Rsm Method For The Multi-Objective Network Reliability Problem', Taylor & Francis Ltd, vol. 38, no. 2, pp. 87-99. en_US
dc.identifier.issn 0020-7721 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15952
dc.description.abstract Evaluating the network reliability is an important topic in the planning, designing, and control of systems. It is always desirable simultaneously to maximize network reliability and minimize resource consumption, e.g., the total cost [i.e., the multi-ob en_US
dc.language en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.isbasedon http://dx.doi.org/10.1080/00207720601042983 en_US
dc.title An Interactive Augmented Max-Min Mcs-Rsm Method For The Multi-Objective Network Reliability Problem en_US
dc.parent International Journal of Systems Science en_US
dc.journal.volume 38 en_US
dc.journal.number 2 en_US
dc.publocation Abingdon en_US
dc.identifier.startpage 87 en_US
dc.identifier.endpage 99 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 170200 en_US
dc.personcode 106463 en_US
dc.percentage 100 en_US
dc.classification.name Cognitive Sciences en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity ISI:000244526900001 en_US
dc.description.keywords Cost Constraint; Decision-Making; Flow Network; System; Nodes en_US
dc.staffid en_US
dc.staffid 106463 en_US


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