Title
Semidefinite Relaxation For Linear Programs With Equilibrium Constraints
Abstract
In this paper, we present a semidefinite programming (SDP) relaxation for linear programs with equilibrium constraints (LPECs) to be used in a branch-and-bound (B&B) algorithm. The procedure utilizes the global optimal solution of LPECs and was motivated by the B&B algorithm proposed by Bard and Moore for linear/quadratic bilevel programs, where complementarities are recursively enforced. We propose the use of the SDP relaxation to generate bounds at the nodes of the B&B tree. Computational results compare the quality of the bounds given by the SDP relaxation with the ones given by conventional linear programming relaxations.
Year
DOI
Venue
2013
10.1111/j.1475-3995.2012.00869.x
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
Keywords
Field
DocType
LPEC, bilevel program, semidefinite relaxation
Mathematical optimization,Quadratic equation,B-tree,Linear programming,Semidefinite programming,Mathematics,Recursion
Journal
Volume
Issue
ISSN
20
2
0969-6016
Citations 
PageRank 
References 
2
0.38
9
Authors
3
Name
Order
Citations
PageRank
Marcia Fampa15811.69
Wendel Melo2133.02
Nelson Maculan381266.09