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Dorothee Henke

(HK 30) Raum 237
Dr.-Hans-Kapfinger-Str. 30
94032 Passau

Tel.: +49 851-509-5367
dorothee.henke@uni-passau.de

ORCID: 0000-0001-9190-642X

  • Combinatorial optimization
  • Computational complexity theory
  • Bilevel optimization
  • Robust optimization
  • Hub location problems
  • Approximation algorithms

Working Papers

  • M. Goerigk, D. Henke, and L. Wulf: The complexity landscape of two-stage robust selection problems with budgeted uncertainty. [preprint]
  • S. Rodríguez-Ballesteros, J. Alcaraz, L. Anton-Sanchez, M. Goerigk, and D. Henke: A robust optimization approach for scheduling with uncertain start-time dependent costs.
  • M. Goerigk, D. Henke, J. Kager, F. Schäfer, and C. Thielen: A fast approximate column-and-constraint generation method for two-stage robust mixed-integer programs. [preprint]
  • C. Grüne, D. Henke, E. Rotenberg, and L. Wulf: The complexity of Stackelberg pricing games. [preprint]
  • D. Henke, H. Lefebvre, M. Schmidt, and J. Thürauf: On coupling constraints in pessimistic linear bilevel optimization. [preprint]
  • N. Pommerening, M. Hügging, D. Henke, C. Buchheim, and U. Clausen: An oracle-based appraoch for price-setting problems in logistics. [preprint]

2025

  • D. Henke: The robust bilevel selection problem. Open Journal of Mathematical Optimization 6 (2025), 4. [paper] [preprint]
  • D. Henke, H. Lefebvre, M. Schmidt, and J. Thürauf: On coupling constraints in linear bilevel optimization. Optimization Letters 19.3 (2025), pages 689–697. [paper] [preprint]
  • D. Henke and L. Wulf: On the complexity of the bilevel shortest path problem. Networks 86.4 (2025), pages 428–445. [paper] [preprint]

2024

  • M. Ahrens, D. Henke, S. Rabenstein, and J. Vygen: Faster goal-oriented shortest path search for bulk and incremental detailed routing. Mathematical Programming 206.1–2 (2024), pages 3–32. [paper] [preprint]
    Extended abstract: Faster goal-oriented shortest path search for bulk and incremental detailed routing. Integer Programming and Combinatorial Optimization (IPCO) 2022, pages 15–28. [paper]

2023

  • N. Jost, D. Henke, I. Hedtke, O. Bredtmann, J. Weise, C. Buchheim, and U. Clausen: Partitioned vs. integrated planning of hinterland networks for LCL transportation. Advances in Resilient and Sustainable Transport – Proceedings of the 6th Interdisciplinary Conference on Production, Logistics and Traffic (ICPLT) 2023, pages 257–273. [paper] [preprint]

2022

  • C. Buchheim and D. Henke: The robust bilevel continuous knapsack problem with uncertain coefficients in the follower's objective. Journal of Global Optimization 83.4 (2022), pages 803–824. [paper] [preprint]
    Extended abstract: The robust bilevel continuous knapsack problem. Proceedings of the 17th Cologne-Twente Workshop on Graphs and Combinatorial Optimization (CTW) 2019, pages 17–20.
  • C. Buchheim, D. Henke, and F. Hommelsheim: On the complexity of the bilevel minimum spanning tree problem. Networks 80.3 (2022), pages 338–355. [paper] [preprint]
  • C. Buchheim, D. Henke, and J. Irmai: The stochastic bilevel continuous knapsack problem with uncertain follower's objective. Journal of Optimization Theory and Applications 194.2 (2022), pages 521–542. [paper] [preprint]

2021

  • C. Buchheim, D. Henke, and F. Hommelsheim: On the complexity of robust bilevel optimization with uncertain follower's objective. Operations Research Letters 49.5 (2021), pages 703–707. [paper] [preprint]

Sommersemester 2026

  • Combinatorial Optimization (Übung)
  • Doctoral Seminar in Optimization

Wintersemester 2025/26

  • Supply Chain and Operations Management (Übung)
  • Heuristics and Approximations Methods (Übung)
  • Doctoral Seminar in Optimization

Sommersemester 2025

  • Fundamentals of Management Science II (Übung)
  • Doctoral Seminar in Optimization

Wintersemester 2024/25

  • Heuristics and Approximations Methods (Übung)
  • Network Optimization (Übung)
  • Doctoral Seminar in Optimization

Sommersemester 2024

  • Fundamentals of Management Science II (Übung)
  • Masterseminar in Business Analytics
  • Doctoral Seminar in Optimization

Wintersemester 2023/24

  • Heuristics and Approximations Methods (Übung)
  • Network Optimization (Übung)
  • Doctoral Seminar in Optimization

  • seit 2023 wissenschaftliche Mitarbeiterin, Universität Passau
  • 2025 Dr. rer. nat. in Mathematik, Technische Universität Dortmund
  • 2018 M. Sc. in Mathematik, Universität Bonn
  • 2016 B. Sc. in Mathematik, Universität Bonn
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