Title
An Exact Algorithmic Framework For A Class Of Mixed-Integer Programs With Equilibrium Constraints
Abstract
In this study, we consider a rich class of mathematical programs with equilibrium constraints (MPECs) involving both integer and continuous variables. Such a class, which subsumes mathematical programs with complementarity constraints, as well as bilevel programs involving lower level convex programs is, in general, extremely hard to solve due to complementarity constraints and integrality requirements. For its solution, we design an (exact) algorithmic framework based on branch-and-bound (B&B) that treats each node of the B&B tree as a separate optimization problem and potentially changes its formulation and solution approach by designing, for example, a separate B&B tree. The framework is implemented and computationally evaluated on a specific instance of MPEC, namely a competitive facility location problem that takes into account the queueing process that determines the equilibrium assignment of users to open facilities, and a generalization of models for which, to date, no exact method has been proposed.
Year
DOI
Venue
2021
10.1137/18M1208769
SIAM JOURNAL ON OPTIMIZATION
Keywords
DocType
Volume
bilevel location, mixed-integer programming, global optimization
Journal
31
Issue
ISSN
Citations 
1
1052-6234
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Teodora Dan100.34
Andrea Lodi22198152.51
Patrice Marcotte301.01