Model, solution concept, and Kth-best algorithm for linear trilevel programming

Zhang, G; Lu, J; Montero, J; Zeng, Y

Model, solution concept, and Kth-best algorithm for linear trilevel programming

Zhang, G

Lu, J

Montero, J Zeng, Y

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Publication Type:: Journal Article
Citation:: Information Sciences, 2010, 180 (4), pp. 481 - 492
Issue Date:: 2010-02-15

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Field	Value	Language
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Montero, J	en_US
dc.contributor.author	Zeng, Y	en_US
dc.date.issued	2010-02-15	en_US
dc.identifier.citation	Information Sciences, 2010, 180 (4), pp. 481 - 492	en_US
dc.identifier.issn	0020-0255	en_US
dc.identifier.uri	http://hdl.handle.net/10453/13464
dc.description.abstract	Trilevel programming refers to hierarchical optimization problems in which the top-level, middle-level, and bottom-level decision entities all attempt to optimize their individual objectives, but are impacted by the actions and partial control exercised by decision entities located at other levels. To solve this complex problem, in this study first we propose the use of a general linear trilevel programming (LTLP) subsequently, we develop a trilevel Kth-best algorithm to solve LTLP problems. A user-friendly trilevel decision support tool is also developed. A case study further illustrates the effectiveness of the proposed method. © 2009 Elsevier Inc. All rights reserved.	en_US
dc.relation.ispartof	Information Sciences	en_US
dc.relation.isbasedon	10.1016/j.ins.2009.10.013	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Model, solution concept, and Kth-best algorithm for linear trilevel programming	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	180	en_US
utslib.for	0806 Information Systems	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:000273905300001	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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	180	en_US

Abstract:

Trilevel programming refers to hierarchical optimization problems in which the top-level, middle-level, and bottom-level decision entities all attempt to optimize their individual objectives, but are impacted by the actions and partial control exercised by decision entities located at other levels. To solve this complex problem, in this study first we propose the use of a general linear trilevel programming (LTLP) subsequently, we develop a trilevel Kth-best algorithm to solve LTLP problems. A user-friendly trilevel decision support tool is also developed. A case study further illustrates the effectiveness of the proposed method. © 2009 Elsevier Inc. All rights reserved.

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http://hdl.handle.net/10453/13464