Professur für Angewandte Mathematik (Gemischt-ganzzahlige lineare und nichtlineare Optimierung)

Adresse:
Cauerstraße 11
91058 Erlangen



Untergeordnete Organisationseinheiten

Juniorprofessur für Algorithmische Diskrete Mathematik
Juniorprofessur für Optimierung von Energiesystemen


Forschungsbereiche

Mixed Integer Programming
Logistics and Production
Engineering and Physics
Energy
Analytics


Forschungsprojekt(e)

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(SFB TRR 154 “Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzen”):
Wohlfahrtsoptimale Nominierungen in Gasnetzen und zugehörige Gleichgewichte
Prof. Dr. Veronika Grimm; PD Dr. Lars Schewe; Prof. Dr. Martin Schmidt; Prof. Dr. Gregor Zöttl
(01.10.2016 - 30.06.2018)


(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
Adaptive MIP-Relaxierungen für MINLPs (B07) (2014 - 2018)
Prof. Dr. Alexander Martin; PD Dr. Lars Schewe
(01.10.2014)


TRR 154: TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken
Prof. Dr. Alexander Martin
(01.07.2014)


(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
Dekompositionsmethoden für ganzzahlig-kontinuierliche Optimalsteuerung (A05) (2014 - 2018)
Prof. Dr. Günter Leugering; Prof. Dr. Alexander Martin
(01.07.2014)


(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
Zentrale Aufgaben (Z03) (2014 - 2022)
Prof. Dr. Alexander Martin
(01.07.2014)



Publikationen (Download BibTeX)

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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. https://dx.doi.org/10.1109/LES.2018.2868823
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. https://dx.doi.org/10.1007/s11081-018-9414-5
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. https://dx.doi.org/10.1007/s10589-019-00085-x
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.
Bärmann, A., Büsing, C., & Liers, F. (2019). Globalized Robust Optimization with Gamma-Uncertainties.
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. https://dx.doi.org/10.1007/s10288-019-00411-3
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. https://dx.doi.org/10.1016/j.ejor.2018.09.016
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. https://dx.doi.org/10.1016/j.ejor.2018.02.035
Groß, M., Pfetsch, M.E., Schewe, L., Schmidt, M., & Skutella, M. (2018). Algorithmic Results for Potential-Based Flows: Easy and Hard Cases. Networks. https://dx.doi.org/10.1002/net.21865
Kramer, A., Krebs, V., & Schmidt, M. (2018). Strictly and Γ-Robust Counterparts of Electricity Market Models: Perfect Competition and Nash--Cournot Equilibria.
Grimm, V., Martin, A., Sölch, C., Weibelzahl, M., & Zöttl, G. (2018). Market-based Redispatch May Result in Inefficient Dispatch.
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.
Gugat, M., Leugering, G., Martin, A., Schmidt, M., Sirvent, M., & Wintergerst, D. (2018). MIP-based instantaneous control of mixed-integer PDE-constrained gas transport problems. Computational Optimization and Applications, 70(1), 267-294. https://dx.doi.org/10.1007/s10589-017-9970-1
Gugat, M., Leugering, G., Martin, A., Schmidt, M., Sirvent, M., & Wintergerst, D. (2018). Towards Simulation Based Mixed-Integer Optimization with Differential Equations. Networks, 72(1), 60-83. https://dx.doi.org/10.1002/net.21812
Krebs, V., Schewe, L., & Schmidt, M. (2018). Uniqueness and Multiplicity of Market Equilibria on DC Power Flow Networks. European Journal of Operational Research, 271(1), 165-178. https://dx.doi.org/10.1016/j.ejor.2018.05.016
Krebs, V., & Schmidt, M. (2018). Uniqueness of Market Equilibria on Networks with Transport Costs. Operations Research Perspectives, 5, 169-173. https://dx.doi.org/10.1016/j.orp.2018.05.002
Grimm, V., Schewe, L., Schmidt, M., & Zöttl, G. (2018). A multilevel model of the European entry-exit gas market. Mathematical Methods of Operations Research. https://dx.doi.org/10.1007/s00186-018-0647-z
Bärmann, A., & Liers, F. (2018). Aggregation Methods for Railway Network Design Based on Lifted Benders Cuts. In Borndörfer R, Klug T, Lamorgese L, Mannino C, Reuther M, Schlechte T (Eds.), Handbook of Optimization in the Railway Industry. (pp. 47--72). Cham: Springer International Publishing.


Zusätzliche Publikationen (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. https://dx.doi.org/10.1080/10556788.2017.1401069
Gottschalk, C., Koster, A., Liers, F., Peis, B., Schmand, D., & Wierz, A. (2017). Robust flows over time: models and complexity results. Mathematical Programming. https://dx.doi.org/10.1007/s10107-017-1170-3
Liers, F., & Merkert, M. (2016). Structural Investigation of Piecewise Linearized Network Flow Problems. SIAM Journal on Optimization, 26(4), 2863-2886. https://dx.doi.org/10.1137/15M1006751
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. https://dx.doi.org/10.1016/j.jairtraman.2016.02.009
Liers, F., Martin, A., & Pape, S. (2016). Binary Steiner Trees: Structural Results and an Exact Solution Approach. Discrete Optimization, 21, 85-117. https://dx.doi.org/10.1016/j.disopt.2016.05.006
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. https://dx.doi.org/10.1016/j.jairtraman.2016.02.004
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. https://dx.doi.org/10.1007/s12532-015-0079-1
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..

Zuletzt aktualisiert 2019-11-07 um 23:51