Liers, Frauke

2026

• Bernhard D., Liers-Bergmann F., Stingl M.:
  Branch-and-cut for mixed-integer robust chance-constrained optimization with discrete distributions
  (2026)
  URL: https://opus4.kobv.de/opus4-trr154/609

2025

• Aigner KM., Bazan P., Bottler S., Burlacu R., Bölting B., Elhaus N., Karl J., Liers-Bergmann F., Luna-Jaspe Roa N., Markolf K., Maurer E., Pruckner M., Scharrer D., Strobel L., Weindl C., German R.:
  ESM-Regio - Simulation and Optimization of Regional Energy Systems in Carbon-Neutral Scenarios
  (2025)
  DOI: 10.21203/rs.3.rs-7878317/v1
• Aigner KM., Denzler S., Liers F., Pokutta S., Sharma K.:
  Scenario Reduction for Distributionally Robust Optimization
  (2025)
  DOI: 10.48550/arXiv.2503.11484
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/573
• Aigner KM., Goerigk M., Hartisch M., Liers F., Miehlich A., Rösel F.:
  Feature Selection for Data-driven Explainable Optimization
  (2025)
  DOI: 10.48550/arXiv.2504.12184
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/586
• Bazan P., German R., Scharrer D., Aigner KM., Burlacu R., Liers F., Martin A., Strobel L., Pruckner M., Luna-Jaspe Roa N., Elhaus N., Karl J., Bottler S., Weindl C., Maurer E., Bölting B., Markolf K., Bayer J., Mayer O., Schiller K., Mauch W.:
  Verbundvorhaben ESM-Regio: Mehrsektorale gekoppelte Energiesystemmodellierung auf regionaler Ebene
  (2025)
  DOI: 10.34657/19350
  (Techreport)
• Bernhard D., Liers F., Stingl M.:
  Robust chance-constrained optimization with discrete distributions
  (2025)
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/564
• Bernhard D., Liers F., Stingl M., Uihlein A.:
  A Gradient-Based Method for Joint Chance-Constrained Optimization with Continuous Distributions
  (2025)
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/532
• Bernhard D., Stingl M., Liers F.:
  Algorithms for robust chance-constrained optimization with mixture ambiguity
  (2025)
  URL: https://opus4.kobv.de/opus4-trr154/602
• Biefel C., Kuchlbauer M., Liers-Bergmann F., Waldmüller L.:
  Robust static and dynamic maximum flows
  In: Journal of Combinatorial Optimization 49 (2025), Article No.: 78
  ISSN: 1382-6905
  DOI: 10.1007/s10878-025-01298-z
• Denzler S., Aigner KM., Lüer L., Brabec C., Liers F.:
  Robust Bayesian Optimization with an Application to Material Science
  (2025)
  Open Access: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/606
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/606
• Mishra A., Gilch A., Apeleo Zubiri B., Rolfes J., Liers-Bergmann F.:
  High-Quality Tomographic Image Reconstruction Integrating Neural Networks and Mathematical Optimization
  (2025)
  DOI: 10.48550/arXiv.2509.06082
• Wagner F., Egger DJ., Liers F.:
  Optimized Noise Suppression for Quantum Circuits
  In: Informs Journal on Computing 37 (2025), p. 22-41
  ISSN: 1091-9856
  DOI: 10.1287/ijoc.2024.0551
• Wagner F., Nublein J., Liers F.:
  Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
  In: ACM Transactions on Quantum Computing 6 (2025), Article No.: 12
  ISSN: 2643-6809
  DOI: 10.1145/3711935

2024

• Adelhütte D., Braun K., Liers F., Tschuppik S.:
  Minimizing delays of patient transports with incomplete information: A modeling approach based on the Vehicle Routing Problem
  In: Or Spectrum (2024)
  ISSN: 0171-6468
  DOI: 10.1007/s00291-024-00788-6
  URL: https://link.springer.com/article/10.1007/s00291-024-00788-6
  (Techreport)
• Aigner KM., Goerigk M., Hartisch M., Liers F., Miehlich A.:
  A Framework for Data-driven Explainability in Mathematical Optimization
  The 38th Annual AAAI Conference on Artificial Intelligence (Vancouver, 20. February 2024 - 27. February 2024)
  DOI: 10.1609/aaai.v38i19.30081
• Glomb L., Liers-Bergmann F., Rösel F.:
  Fleet & tail assignment under uncertainty
  In: Discrete Optimization 52 (2024)
  ISSN: 1572-5286
  DOI: 10.1016/j.disopt.2024.100836
• Hoch B., Liers-Bergmann F., Neumann S., Zaragoza Martínez FJ.:
  The non-stop disjoint trajectories problem
  In: Discrete Optimization 52 (2024), Article No.: 100837
  ISSN: 1572-5286
  DOI: 10.1016/j.disopt.2024.100837
• Kreuz S., Apeleo Zubiri B., Englisch S., Buwen M., Kang SG., Ramachandramoorthy R., Spiecker E., Liers F., Rolfes J.:
  Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization
  In: Nanoscale Advances (2024)
  ISSN: 2516-0230
  DOI: 10.1039/d3na01089a
• Kuchlbauer M., Dienstbier J., Muneer A., Hedges H., Stingl M., Liers F., Pflug L.:
  Quality Control in Particle Precipitation via Robust Optimization
  In: Computers & Chemical Engineering (2024)
  ISSN: 0098-1354
  DOI: 10.1016/j.compchemeng.2024.108619
• Lüer L., Peters IM., Smith AS., Dorschky E., Eskofier B., Liers-Bergmann F., Franke J., Sjarov M., Brossog M., Guldi DM., Maier A., Brabec C.:
  A digital twin to overcome long-time challenges in photovoltaics
  In: Joule 8 (2024), p. 1-17
  ISSN: 2542-4351
  DOI: 10.1016/j.joule.2023.12.010

2023

• Aigner KM., Burlacu R., Liers F., Martin A.:
  Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality
  In: Informs Journal on Computing (2023)
  ISSN: 1091-9856
  DOI: 10.1287/ijoc.2023.1270
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/323
  (Techreport)
• Aigner KM., Bärmann A., Braun K., Liers F., Pokutta S., Schneider O., Sharma K., Tschuppik S.:
  Data-driven Distributionally Robust Optimization over Time
  In: INFORMS Journal on Optimization (2023)
  ISSN: 2575-1484
  DOI: 10.1287/ijoo.2023.0091
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/496
• Frank U., Dienstbier J., Tischer F., Wawra S., Gromotka L., Walter J., Liers-Bergmann F., Peukert W.:
  Multidimensional Fractionation of Particles
  In: Separations 10 (2023), Article No.: 252
  ISSN: 2297-8739
  DOI: 10.3390/separations10040252
• Glomb L., Liers F., Rösel F.:
  A stochastic optimization approach for optimal Tail Assignment with knowledge-based predictive maintenance
  In: CEAS Aeronautical Journal (2023)
  ISSN: 1869-5582
  DOI: 10.1007/s13272-023-00663-0
• Glomb L., Liers F., Rösel F.:
  Optimizing integrated aircraft assignment and turnaround handling
  In: European Journal of Operational Research 310 (2023), p. 1051 - 1071
  ISSN: 0377-2217
  DOI: 10.1016/j.ejor.2023.03.036
• Gutina D., Bärmann A., Roeder G., Schellenberger M., Liers-Bergmann F.:
  Optimization over decision trees: a case study for the design of stable direct-current electricity networks
  In: Optimization and Engineering (2023)
  ISSN: 1389-4420
  DOI: 10.1007/s11081-023-09788-x
• Wagner F., Bärmann A., Liers F., Weissenbäck M.:
  Improving Quantum Computation by Optimized Qubit Routing
  In: Journal of Optimization Theory and Applications (2023)
  ISSN: 0022-3239
  DOI: 10.1007/s10957-023-02229-w

2022

• Aigner KM., Clarner JP., Liers F., Martin A.:
  Robust Approximation of Chance Constrained DC Optimal Power Flow under Decision-Dependent Uncertainty
  In: European Journal of Operational Research (2022)
  ISSN: 0377-2217
  DOI: 10.1016/j.ejor.2021.10.051
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/312
  (online publication)
• Aigner KM., Schaumann P., von Loeper F., Martin A., Schmidt V., Liers F.:
  Robust DC Optimal Power Flow with Modeling of Solar Power Supply Uncertainty via R-Vine Copulas
  In: Optimization and Engineering (2022)
  ISSN: 1389-4420
  DOI: 10.1007/s11081-022-09761-0
  URL: https://link.springer.com/article/10.1007/s11081-022-09761-0
• Anjos M., Hante FM., Liers-Bergmann F.:
  Special issue on Energy Networks
  In: Mathematical Methods of Operations Research (2022)
  ISSN: 1432-2994
  DOI: 10.1007/s00186-022-00791-z
• Biefel C., Liers F., Rolfes J., Schewe L., Zöttl G.:
  Robust Market Equilibria under Uncertain Cost
  In: European Journal of Operational Research 302 (2022), p. 1230-1241
  ISSN: 0377-2217
  DOI: 10.1016/j.ejor.2022.02.030
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/searchtype/latest/docId/417/start/0/rows/10
• Biefel C., Liers F., Rolfes J., Schmidt M.:
  Affinely Adjustable Robust Linear Complementarity Problems
  In: SIAM Journal on Optimization 32 (2022), p. 152-172
  ISSN: 1052-6234
  DOI: 10.1137/20M1359778
• Hoch B., Liers F.:
  An integrated rolling horizon and adaptive-refinement approach for disjoint trajectories optimization
  In: Optimization and Engineering (2022)
  ISSN: 1389-4420
  DOI: 10.1007/s11081-022-09719-2
• Hoch B., Liers F.:
  An Integrated Rolling Horizon and Adaptive-Refinement Approach for Disjoint Trajectories Optimization
  In: Optimization and Engineering (2022)
  ISSN: 1389-4420
  DOI: 10.1007/s11081-022-09719-2
• Kreimeier T., Kuchlbauer M., Liers F., Stingl M., Walther A.:
  Towards the Solution of Robust Gas Network Optimization Problems Using the Constrained Active Signature Method
  (2022), p. 45 - 50
  ISSN: 2510-7437
  DOI: 10.48786/inoc.2022.09
• Kuchlbauer M., Liers F., Stingl M.:
  Adaptive bundle methods for nonlinear robust optimization
  In: Informs Journal on Computing 34 (2022), p. 2106 - 2124
  ISSN: 1091-9856
  DOI: 10.1287/ijoc.2021.1122
  (Techreport)
• Kuchlbauer M., Liers F., Stingl M.:
  Outer approximation for mixed-integer nonlinear robust optimization
  In: Journal of Optimization Theory and Applications (2022), p. 1056–1086
  ISSN: 0022-3239
  DOI: 10.1007/s10957-022-02114-y
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/414
• Leithäuser N., Adelhütte D., Braun K., Büsing C., Comis M., Gersing T., Johann S., Koster A., Krumke S., Liers F., Schmidt E., Schneider J., Streicher M., Tschuppik S., Wrede S.:
  Decision-Support Systems for Ambulatory Care, including Pandemic Requirements: Using Mathematically Optimized Solutions
  In: BMC Medical Informatics and Decision Making (2022)
  ISSN: 1472-6947
  DOI: 10.1186/s12911-022-01866-x
  URL: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-022-01866-x
  (Techreport)

2021

• Adelhütte D., Liers F.:
  Γ–counterparts for robust nonlinear combinatorial and discrete optimization
  (2021)
  Open Access: http://www.optimization-online.org/DB_HTML/2020/05/7806.html
  URL: http://www.optimization-online.org/DB_HTML/2020/05/7806.html
  (Techreport)
• Antunovic A., Amiri E., Biefel C., Steinbock G., Aulin J., Liers F., Gerstacker W.:
  Dynamic Sectorization in Multi-Panel Massive MIMO Systems
  2021 IEEE 4th 5G World Forum (, 13. October 2021 - 15. October 2021)
  DOI: 10.1109/5gwf52925.2021.00020
• Dienstbier J., Aigner KM., Rolfes J., Peukert W., Segets D., Pflug L., Liers F.:
  Robust Optimization in Nanoparticle Technology: A Proof of Principle by Quantum Dot Growth in a Residence Time Reactor
  In: Computers & Chemical Engineering (2021)
  ISSN: 0098-1354
  DOI: 10.1016/j.compchemeng.2021.107618
  URL: http://www.optimization-online.org/DB_HTML/2021/02/8262.html
• Glomb L., Hoch B., Liers F., Rösel F.:
  Network planning and routing problems over time: Models, complexity and algorithms
  29th Annual European Symposium on Algorithms, ESA 2021 (Lisbon, 6. September 2021 - 8. September 2021)
  In: Petra Mutzel, Rasmus Pagh, Grzegorz Herman (ed.): Leibniz International Proceedings in Informatics, LIPIcs 2021
  DOI: 10.4230/LIPIcs.ESA.2021.1
• Glomb L., Liers F., Rösel F.:
  A rolling-horizon approach for multi-period optimization
  In: European Journal of Operational Research unbekannt (2021)
  ISSN: 0377-2217
  DOI: 10.1016/j.ejor.2021.07.043
  URL: https://www.sciencedirect.com/science/article/abs/pii/S0377221721006536
• Liers F., Martin A., Merkert M., Mertens N., Michaels D.:
  Solving mixed-integer nonlinear optimization problems using simultaneous convexification: a case study for gas networks
  In: Journal of Global Optimization (2021)
  ISSN: 0925-5001
  DOI: 10.1007/s10898-020-00974-0
• Liers F., Schewe L., Thürauf J.:
  Radius of Robust Feasibility for Mixed-Integer Problems
  In: Informs Journal on Computing (2021)
  ISSN: 1091-9856
  DOI: 10.1287/ijoc.2020.1030
  URL: http://www.optimization-online.org/DB_HTML/2019/05/7219.html
  (Techreport)
• Roeder G., Ott L., Maier A., Wunder B., Wienzek P., Bärmann A., Liers F., Schellenberger M.:
  Analysis and Improvement of LVDC-Grid Stability using Circuit Simulation and Machine Learning - A Case Study
  NEIS 2021 Conference on Sustainable Energy Supply and Energy Storage Systems (Hamburg, 13. September 2021 - 14. September 2021)

2020

• Adelhütte D., Aßmann D., Gonzàlez Grandòn T., Gugat M., Heitsch H., Liers F., Henrion R., Nitsche S., Schultz R., Stingl M., Wintergerst D.:
  Joint model of probabilistic/robust (probust) constraints with application to gas network optimization
  In: Vietnam Journal of Mathematics (2020)
  ISSN: 0866-7179
  DOI: 10.1007/s10013-020-00434-y
  URL: https://link.springer.com/article/10.1007/s10013-020-00434-y
  (Techreport)
• Ambrosius M., Grimm V., Kleinert T., Liers F., Schmidt M., Zöttl G.:
  Endogenous Price Zones and Investment Incentives in Electricity Markets: An Application of Multilevel Optimization with Graph Partitioning
  In: Energy Economics (2020)
  ISSN: 0140-9883
  DOI: 10.1016/j.eneco.2020.104879
  URL: https://www.sciencedirect.com/science/article/pii/S014098832030219X?via=ihub
• Dienstbier J., Schmölder J., Burlacu R., Liers F., Kaspereit M.:
  Global optimization of batch and steady-state recycling chromatography based on the equilibrium model
  In: Computers & Chemical Engineering 135 (2020), p. 106687
  ISSN: 0098-1354
  DOI: 10.1016/j.compchemeng.2019.106687
  (Techreport)
• Hupp L., Kapolke M., Liers F., Martin A., Weismantel R.:
  Mixed-Integer Reformulations of Resource-Constrained Two-Stage Assignment Problems
  (2020)
  URL: http://www.optimization-online.org/DB_HTML/2020/11/8103.html
  (Techreport)
• Liers F., Martin A., Merkert M., Mertens N., Michaels D.:
  Towards the Solution of Mixed-Integer Nonlinear Optimization Problems using Simultaneous Convexification
  (2020), p. 36
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/searchtype/latest/docId/303/start/0/rows/10
  (Techreport)

2019

• Aßmann D., Liers F., Stingl M.:
  Decomposable robust two-stage optimization: An application to gas network operations under uncertainty
  In: Networks (2019)
  ISSN: 0028-3045
  DOI: 10.1002/net.21871
  URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/net.21871
• Bärmann A., Büsing C., Liers F.:
  Globalized Robust Optimization with Gamma-Uncertainties
  (2019)
  URL: http://www.optimization-online.org/DB_HTML/2019/06/7253.html
  (Techreport)
• Grimm V., Kleinert T., Liers F., Schmidt M., Zöttl G.:
  Optimal price zones in electricity markets: a mixed-integer multilevel model and global solution approaches
  In: Optimization Methods & Software 34 (2019), p. 406-436
  ISSN: 1055-6788
  DOI: 10.1080/10556788.2017.1401069
  URL: https://www.tandfonline.com/doi/abs/10.1080/10556788.2017.1401069?journalCode=goms20

2018

• Aßmann D., Liers F., Stingl M., Vera JC.:
  Deciding Robust Feasibility and Infeasibility Using a Set Containment Approach: An Application to Stationary Passive Gas Network Operations
  In: SIAM Journal on Optimization 28 (2018), p. 2489-2517
  ISSN: 1052-6234
  DOI: 10.1137/17M112470X
• Bärmann A., Liers F.:
  Aggregation Methods for Railway Network Design Based on Lifted Benders Cuts
  In: Borndörfer R, Klug T, Lamorgese L, Mannino C, Reuther M, Schlechte T (ed.): Handbook of Optimization in the Railway Industry, Cham: Springer International Publishing, 2018, p. 47--72
  ISBN: 978-3-319-72153-8
  DOI: 10.1007/978-3-319-72153-8_3
• Schweiger J., Liers F.:
  A decomposition approach for optimal gas network extension with a finite set of demand scenarios
  In: Optimization and Engineering (2018)
  ISSN: 1389-4420
  DOI: 10.1007/s11081-017-9371-4

2017

• Gottschalk C., Koster A., Liers F., Peis B., Schmand D., Wierz A.:
  Robust flows over time: models and complexity results
  In: Mathematical Programming (2017)
  ISSN: 0025-5610
  DOI: 10.1007/s10107-017-1170-3
• Liers F., Martin A., Peter A.:
  Mathematical Analysis of Runway Scheduling with Aircraft Precedences
  (2017)
  (Techreport)

2016

• Cacchiani V., Jünger M., Liers F., Lodi A., Schmidt DR.:
  Single-commodity robust network design with finite and Hose demand sets
  In: Mathematical Programming 157 (2016), p. 297-342
  ISSN: 1436-4646
  DOI: 10.1007/s10107-016-0991-9
• Gronemann M., Juenger M., Liers F., Mambelli F.:
  Crossing minimization in storyline visualization
  24th International Symposium on Graph Drawing and Network Visualization, GD 2016 (Athens, 19. September 2016 - 21. September 2016)
  In: Martin Nollenburg, Yifan Hu (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016
  DOI: 10.1007/978-3-319-50106-2_29
• Gronemann M., Jünger M., Liers F., Mambelli F.:
  Crossing Minimization in Storyline Visualization
  In: Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization, Springer, 2016 (Lecture Notes in Computer Science)
  URL: https://arxiv.org/abs/1608.08027
• Heidt A., Helmke H., Kapolke M., Liers F., Martin A.:
  Robust runway scheduling under uncertain conditions
  In: Journal of Air Transport Management 56 (2016), p. 28-37
  ISSN: 0969-6997
  DOI: 10.1016/j.jairtraman.2016.02.009
• Kapolke M., Fürstenau N., Heidt A., Liers F., Mittendorf M., Weiß C.:
  Pre-tactical optimization of runway utilization under uncertainty
  In: Journal of Air Transport Management (2016)
  ISSN: 0969-6997
  DOI: 10.1016/j.jairtraman.2016.02.004
• Liers F., Martin A., Pape S.:
  Binary Steiner Trees: Structural Results and an Exact Solution Approach
  In: Discrete Optimization 21 (2016), p. 85-117
  ISSN: 1572-5286
  DOI: 10.1016/j.disopt.2016.05.006
• Liers F., Merkert M.:
  Structural Investigation of Piecewise Linearized Network Flow Problems
  In: SIAM Journal on Optimization 26 (2016), p. 2863-2886
  ISSN: 1052-6234
  DOI: 10.1137/15M1006751

2015

• Bärmann A., Liers F., Martin A., Merkert M., Thurner C., Weninger D.:
  Solving Network Design Problems via Iterative Aggregation
  In: Mathematical Programming Computation 7 (2015), p. 189-217
  ISSN: 1867-2957
  DOI: 10.1007/s12532-015-0079-1
• Fürstenau N., Heidt A., Kapolke M., Liers F., Mittendorf M., Weiß C.:
  Pre-Tactical Planning of Runway Utilization Under Uncertainty: Optimization and Validation
  In: Dirk Schäfer (ed.): Proceedings of the SESAR Innovations Days 2015, Eurocontrol, 2015
• Hupp L., Klein L., Liers F.:
  An exact solution method for quadratic matching: The one-quadratic-term technique and generalisations
  In: Discrete Optimization 18 (2015), p. 193-216
  ISSN: 1572-5286
  DOI: 10.1016/j.disopt.2015.10.002

2014

• Heidt A., Helmke H., Liers F., Martin A.:
  Robust runway scheduling using a time-indexed model
  4th SESAR Innovation Days (Madrid, 25. November 2014 - 27. November 2014)
  In: Dirk Schaefer (ed.): SIDs 2014 - Proceedings of the SESAR Innovation Days 2014
• Heidt A., Helmke H., Liers F., Martin A.:
  Robust Runway Scheduling using a time-indexed model
  In: D.~Schäfer (ed.): Proceedings of the SESAR Innovation Days 2014, 2014
  ISBN: 978-2-87497-077-1
• Heidt A., Kapolke M., Liers F., Fürstenau N., Helmke H.:
  Pre-tactical Time Window assignment: Runway Utilization and the Impact of Uncertainties
  In: Dirk Schaefer, Javier Saez (ed.): Proceedings of the SESAR Innovation Days 2014, 2014
  ISBN: 978-2-87497-077-1
  URL: http://www.sesarinnovationdays.eu
• Heidt A., Kapolke M., Liers-Bergmann F., Fürstenau N., Helmke H.:
  Pre-tactical time window assignment: Runway utilization and the impact of uncertainties
  4th SESAR Innovation Days (Madrid, ESP, 25. November 2014 - 27. November 2014)
  In: Dirk Schaefer (ed.): SIDs 2014 - Proceedings of the SESAR Innovation Days 2014