EconPapers    
Economics at your fingertips  
 

Solving Bilevel Linear Programs Using Multiple Objective Linear Programming

J. Glackin (), J. G. Ecker () and M. Kupferschmid ()
Additional contact information
J. Glackin: United States Military Academy
J. G. Ecker: Rensselaer Polytechnic Institute
M. Kupferschmid: Rensselaer Polytechnic Institute

Journal of Optimization Theory and Applications, 2009, vol. 140, issue 2, No 1, 197-212

Abstract: Abstract We present an algorithm for solving bilevel linear programs that uses simplex pivots on an expanded tableau. The algorithm uses the relationship between multiple objective linear programs and bilevel linear programs along with results for minimizing a linear objective over the efficient set for a multiple objective problem. Results in multiple objective programming needed are presented. We report computational experience demonstrating that this approach is more effective than a standard branch-and-bound algorithm when the number of leader variables is small.

Keywords: Bilevel linear programming; Multiple objective linear programming; Efficient set; Rational reaction set; Simplex algorithm pivot (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-008-9467-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:140:y:2009:i:2:d:10.1007_s10957-008-9467-2

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-008-9467-2

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:140:y:2009:i:2:d:10.1007_s10957-008-9467-2