1992
DOI: 10.1007/bf02098177
|View full text |Cite
|
Sign up to set email alerts
|

An algorithm for the mixed-integer nonlinear bilevel programming problem

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
24
0
1

Year Published

2003
2003
2023
2023

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 62 publications
(25 citation statements)
references
References 14 publications
0
24
0
1
Order By: Relevance
“…There is rich history of analytic work on the mixed integer bi-level programming problem [17][18][19][20]. However, most of these results deal with the linear objective functions.…”
Section: Solution Algorithmmentioning
confidence: 99%
“…There is rich history of analytic work on the mixed integer bi-level programming problem [17][18][19][20]. However, most of these results deal with the linear objective functions.…”
Section: Solution Algorithmmentioning
confidence: 99%
“…For example, even if the relaxation solution (61)-(64) turns out to be integral, it cannot be immediately fathomed. The relaxation problem we designed is a more sophisticated parametric HPP (16)- (24), which keeps the integrality requirement constraints (22) and (24) and includes additional constraints (19) and (20). The latter two constraints are designed to provide a tight relaxation of the BMILP.…”
Section: Comparison With Previous Bmilp Algorithmsmentioning
confidence: 99%
“…Most early studies [8][9][10]27,39] focused on the simpler case of bilevel linear program. Since the 1990s, there has been increased attention on more complex models with nonlinear terms [6,4,21,22] or discrete decision variables [7,19,32,38]. Comprehensive reviews of existing bilevel optimization algorithms and applications can be found in [15,37].…”
Section: Introductionmentioning
confidence: 99%
“…Such algorithms are the following: branch-and-bound algorithms for exact and approximate solutions [130,300,433]. Algorithms being based on parametric linear discrete optimization can be found in the papers [120,195,196], and a cutting plane algorithm in [112].…”
Section: Bibliography On Bilevel Programming 339mentioning
confidence: 99%