Economics - Discrete Optimization - Mathematics (EDOM)

Cauerstraße 11
91058 Erlangen

Subordinate Organisational Units

Juniorprofessur für Algorithmische Diskrete Mathematik
Juniorprofessur für Optimierung von Energiesystemen

Research Fields

Engineering and Physics
Logistics and Production
Mixed Integer Programming

Related Project(s)

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(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
Decomposition methods for mixed-integer optimal control (A05) (2018 - 2022)
Prof. Dr. Günter Leugering; Prof. Dr. Alexander Martin; Prof. Dr. Martin Schmidt
(01/07/2018 - 30/06/2022)

(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
MIP techniques for equilibrium models with integer constraints (B07) (2018 - 2022)
Prof. Dr. Alexander Martin; PD Dr. Lars Schewe
(01/07/2018 - 30/06/2022)

Verteilnetze: Flächenbezogene Modellierung, Simulation und Optimierung von Solar-Einspeisung, Lastfluss und Steuerung für Stromverteilnetze, unter Berücksichtigung von Einspeisungsunsicherheiten. Teilprojekt 5: Optimierung der Netzeingriffe.
Prof. Dr. Frauke Liers; Prof. Dr. Alexander Martin
(01/01/2018 - 31/12/2020)

(Reduced Order Modelling, Simulation and Optimization of Coupled systems):
ROMSOC: Reduced Order Modelling, Simulation and Optimization of Coupled systems
Dr. Andreas Bärmann; Prof. Dr. Alexander Martin
(01/09/2017 - 31/08/2021)

(Energie Campus Nürnberg (EnCN2)):
EMD: Energiemarktdesign
Prof. Dr. Veronika Grimm; Prof. Dr. Roland Ismer; Prof. Dr. Frauke Liers; Prof. Dr. Alexander Martin; PD Dr. Lars Schewe; Prof. Dr. Martin Schmidt; Prof. Dr. Gregor Zöttl
(01/01/2017 - 31/12/2021)

Publications (Download BibTeX)

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Reuß, M., Welder, L., Thürauf, J., Linßen, J., Grube, T., Schewe, L.,... Robinius, M. (2019). Modeling Hydrogen Networks for Future Energy Systems: A Comparison of Linear and Nonlinear Approaches.
Sieh, V., Burlacu, R., Hönig, T., Janker, H., Raffeck, P., Wägemann, P., & Schröder-Preikschat, W. (2019). Combining Automated Measurement-Based Cost Modeling With Static Worst-Case Execution-Time and Energy-Consumption Analyses. IEEE Embedded Systems Letters, 11(2), 38-41.
Burlacu, R., Egger, H., Gross, M., Martin, A., Pfetsch, M.E., Schewe, L.,... Skutella, M. (2019). Maximizing the storage capacity of gas networks: a global MINLP approach. Optimization and Engineering, 20(2), 543-573.
Robinius, M., Schewe, L., Schmidt, M., Stolten, D., Thürauf, J., & Welder, L. (2019). Robust optimal discrete arc sizing for tree-shaped potential networks. Computational Optimization and Applications.
Liers, F., Schewe, L., & Thürauf, J. (2019). Radius of Robust Feasibility for Mixed-Integer Problems.
Grübel, J., Kleinert, T., Krebs, V., Orlinskaya, G., Schewe, L., Schmidt, M., & Thürauf, J. (2019). On Electricity Market Equilibria with Storages: Modeling, Uniqueness, and a Distributed ADMM.
Dienstbier, J., Schmölder, J., Burlacu, R., Liers, F., & Kaspereit, M. (2019). Global optimization of batch and steady-state recycling chromatography based on the equilibrium model.
Schewe, L., Schmidt, M., & Thürauf, J. (2019). Structural Properties of Feasible Bookings in the European Entry-Exit Gas Market System. 4OR-A Quarterly Journal of Operations Research.
Bärmann, A., Büsing, C., & Liers, F. (2019). Globalized Robust Optimization with Gamma-Uncertainties.
Achterberg, T., Bixby, R.E., Gu, Z., Rothberg, E., & Weninger, D. (2019). Presolve Reductions in Mixed Integer Programming. Informs Journal on Computing.
Burlacu, R., Geiβler, B., & Schewe, L. (2019). Solving mixed-integer nonlinear programmes using adaptively refined mixed-integer linear programmes. Optimization Methods & Software.
Schewe, L., & Schmidt, M. (2019). The impact of potential-based physics models on pricing in energy networks. Central European Journal of Operations Research.
Grimm, V., Orlinskaya, G., Schewe, L., Schmidt, M., & Zöttl, G. (2019). Optimal Design of Retailer-Prosumer Electricity Tariffs Using Bilevel Optimization.
Schewe, L., Schmidt, M., & Weninger, D. (2019). A Decomposition Heuristic for Mixed-Integer Supply Chain Problems.
Gamrath, G., Gleixner, A., Koch, T., Miltenberger, M., Kniasew, D., Schlögel, D.,... Weninger, D. (2019). Tackling Industrial-Scale Supply Chain Problems by Mixed-Integer Programming. Journal of Computational Mathematics.
Hiller, B., Koch, T., Schewe, L., Schwarz, R., & Schweiger, J. (2018). A System to Evaluate Gas Network Capacities: Concepts and Implementation. European Journal of Operational Research, 270(3), 797-808.
Grimm, V., Grübel, J., Schewe, L., Schmidt, M., & Zöttl, G. (2018). Nonconvex Equilibrium Models for Gas Market Analysis: Failure of Standard Techniques and Alternative Modeling Approaches. European Journal of Operational Research.
Groß, M., Pfetsch, M.E., Schewe, L., Schmidt, M., & Skutella, M. (2018). Algorithmic Results for Potential-Based Flows: Easy and Hard Cases. Networks.
Kramer, A., Krebs, V., & Schmidt, M. (2018). Strictly and Γ-Robust Counterparts of Electricity Market Models: Perfect Competition and Nash--Cournot Equilibria.
Steber, D., Pruckner, M., Thurner, C., Burlacu, R., Graber, T., Deß, T.,... German, R. (2018). Combined Optimization, Simulation and Grid Analysis of the German Electrical Power System in an European Context (KOSiNeK) - Presentation of the research project and first results. In Proceedings of the Integration of Sustainable Energy Conference (ISEneC) 2018. Nürnberg, DE.

Publications in addition (Download BibTeX)

Grimm, V., Kleinert, T., Liers, F., Schmidt, M., & Zöttl, G. (2019). Optimal price zones in electricity markets: a mixed-integer multilevel model and global solution approaches. Optimization Methods & Software, 34(2), 406-436.
Gottschalk, C., Koster, A., Liers, F., Peis, B., Schmand, D., & Wierz, A. (2017). Robust flows over time: models and complexity results. Mathematical Programming.
Liers, F., & Merkert, M. (2016). Structural Investigation of Piecewise Linearized Network Flow Problems. SIAM Journal on Optimization, 26(4), 2863-2886.
Heidt, A., Helmke, H., Kapolke, M., Liers, F., & Martin, A. (2016). Robust runway scheduling under uncertain conditions. Journal of Air Transport Management, 56(Part A), 28-37.
Liers, F., Martin, A., & Pape, S. (2016). Binary Steiner Trees: Structural Results and an Exact Solution Approach. Discrete Optimization, 21, 85-117.
Kapolke, M., Fürstenau, N., Heidt, A., Liers, F., Mittendorf, M., & Weiß, C. (2016). Pre-tactical optimization of runway utilization under uncertainty. Journal of Air Transport Management.
Bärmann, A., Liers, F., Martin, A., Merkert, M., Thurner, C., & Weninger, D. (2015). Solving Network Design Problems via Iterative Aggregation. Mathematical Programming Computation, 7(2), 189-217.
Fürstenau, N., Heidt, A., Kapolke, M., Liers, F., Mittendorf, M., & Weiß, C. (2015). Pre-Tactical Planning of Runway Utilization Under Uncertainty: Optimization and Validation. In Dirk Schäfer (Eds.), Proceedings of the SESAR Innovations Days 2015. Eurocontrol.
Heidt, A., Kapolke, M., Liers, F., Fürstenau, N., & Helmke, H. (2014). Pre-tactical Time Window assignment: Runway Utilization and the Impact of Uncertainties. In Dirk Schaefer, Javier Saez (Eds.), Proceedings of the SESAR Innovation Days 2014..
Heidt, A., Helmke, H., Liers, F., & Martin, A. (2014). Robust Runway Scheduling using a time-indexed model. In D.~Schäfer (Eds.), Proceedings of the SESAR Innovation Days 2014..

Last updated on 2019-23-07 at 23:51