The Kth-best approach for linear bilevel multi-follower programming

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Show simple item record Shi, C Zhang, G Lu, J 2009-12-21T02:28:09Z 2005-12
dc.identifier.citation Journal of Global Optimization, 2005, 33 (4), pp. 563 - 578
dc.identifier.issn 0925-5001
dc.identifier.other C1 en_US
dc.description.abstract The majority of research on bilevel programming has centered on the linear version of the problem in which only one leader and one follower are involved. This paper addresses linear bilevel multi-follower programming (BLMFP) problems in which there is no sharing information among followers. It explores the theoretical properties of linear BLMFP, extends the Kth-best approach for solving linear BLMFP problems and gives a computational test for this approach. © Springer 2005.
dc.language eng
dc.relation.isbasedon 10.1007/s10898-004-7739-4
dc.title The Kth-best approach for linear bilevel multi-follower programming
dc.type Journal Article
dc.parent Journal of Global Optimization
dc.journal.volume 4
dc.journal.volume 33
dc.journal.number 4 en_US
dc.publocation Dordrecht, Netherlands en_US
dc.identifier.startpage 563 en_US
dc.identifier.endpage 578 en_US FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 0803 Computer Software
dc.for 0802 Computation Theory and Mathematics
dc.personcode 001038
dc.personcode 020014
dc.percentage 33 en_US Computation Theory and Mathematics en_US
dc.classification.type FOR-08 en_US
dc.custom 0.693 en_US
dc.description.keywords bilevel decision-making; decision-making optimization; Kth-best approach; linear bilevel programming; multi-follower programming en_US
dc.description.keywords bilevel decision-making
dc.description.keywords decision-making optimization
dc.description.keywords Kth-best approach
dc.description.keywords linear bilevel programming
dc.description.keywords multi-follower programming
dc.description.keywords Bilevel decision-making
dc.description.keywords Decision-making optimization
dc.description.keywords Linear bilevel programming
dc.description.keywords Multi-follower programming
pubs.embargo.period Not known
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/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access 2015-04-15 12:17:09.805752+10
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history Closed (ID: 3)

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