Title
A class of algorithms for mixed-integer bilevel min---max optimization
Abstract
In this paper, we introduce a new class of algorithms for solving the mixed-integer bilevel min–max optimization problem. This problem involves two players, a leader and a follower, who play a Stackelberg game. In particular, the leader seeks to minimize over a set of discrete variables the maximum objective that the follower can achieve. The complicating features of our problem are that a subset of the follower’s decisions are restricted to be integer-valued, and that the follower’s decisions are constrained by the leader’s decisions. We first describe several bilevel min–max programs that can be used to obtain lower and upper bounds on the optimal objective value of the problem. We then present algorithms for this problem that finitely terminate with an optimal solution when the leader variables are restricted to take binary values. Finally, we report the results of a computational study aimed at evaluating the quality of our algorithms on two families of randomly generated problems.
Year
DOI
Venue
2016
10.1007/s10898-015-0274-7
Journal of Global Optimization
Keywords
Field
DocType
Bilevel programming,Interdiction problems,Integer programing,Algorithms
Integer,Mathematical optimization,Bilevel optimization,Algorithm,Stackelberg competition,Optimization problem,Mathematics,Binary number
Journal
Volume
Issue
ISSN
66
2
0925-5001
Citations 
PageRank 
References 
10
0.50
13
Authors
3
Name
Order
Citations
PageRank
Yen Tang1100.50
Jean-Philippe P. Richard221516.55
J. Cole Smith361043.34