On coupling constraints in linear bilevel optimization

Abstract It is well-known that coupling constraints in linear bilevel optimization can lead to disconnected feasible sets, which is not possible without coupling constraints. However, there is no difference between linear bilevel problems with and without coupling constraints w.r.t. their complexity-theoretical hardness. In this note, we prove that, although there is a clear difference between these two classes of problems in terms of their feasible sets, the classes are equivalent on the level of optimal solutions. To this end, given a general linear bilevel problem with coupling constraints, we derive a respective problem without coupling constraints and prove that it has the same optimal solutions (when projected back to the original variable space).

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Publication Details

Journal
Optimization Letters
Published
2024-12-03
DOI
https://doi.org/10.1007/s11590-024-02156-3
Citations
4
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
1.45

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article

On coupling constraints in linear bilevel optimization

Martin Schmidt, Dorothee Henke, Johannes Thürauf, Henri Lefebvre
4 citations
Optimization Letters
Optimization and Variational Analysis
1.45
article

On coupling constraints in linear bilevel optimization

Martin Schmidt, Dorothee Henke, Johannes Thürauf, Henri Lefebvre
article en
4 citations

Abstract

Abstract It is well-known that coupling constraints in linear bilevel optimization can lead to disconnected feasible sets, which is not possible without coupling constraints. However, there is no difference between linear bilevel problems with and without coupling constraints w.r.t. their complexity-theoretical hardness. In this note, we prove that, although there is a clear difference between these two classes of problems in terms of their feasible sets, the classes are equivalent on the level of optimal solutions. To this end, given a general linear bilevel problem with coupling constraints, we derive a respective problem without coupling constraints and prove that it has the same optimal solutions (when projected back to the original variable space).

Optimization LettersVol. 19(3)
University of Passau (DE), University of Technology Nuremberg, Universität Trier (DE)
Universität Trier, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 15%
Optimization and Variational Analysis
1.45
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