Lehrstuhl für Wirtschaftsmathematik

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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(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
Dekompositionsmethoden für ganzzahlig-kontinuierliche Optimalsteuerung (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-Techniken für Gleichgewichtsmodelle mit Ganzzahligkeitsrestriktionen (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)



Publikationen (Download BibTeX)

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Schmidt, M., Sirvent, M., & Wollner, W. (2018). A Decomposition Method for MINLPs with Lipschitz Continuous Nonlinearities. Mathematical Programming. https://dx.doi.org/10.1007/s10107-018-1309-x
Schewe, L., & Schmidt, M. (2018). The Impact of Potential-Based Physics Models on Pricing in Energy Networks.
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
Schmidt, M., Sirvent, M., & Wollner, W. (2018). The Cost of Not Knowing Enough: Mixed-Integer Optimization with Implicit Lipschitz Nonlinearities.
Schewe, L., & Schmidt, M. (2018). Computing Feasible Points for Binary MINLPs with MPECs. Mathematical Programming Computation. https://dx.doi.org/10.1007/s12532-018-0141-x
Burlacu, R., Egger, H., Gross, M., Martin, A., Pfetsch, M.E., Schewe, L.,... Skutella, M. (2017). A Global Optimization Approach for Instationary Gas Transport in Pipeline Networks.
Bärmann, A., Pokutta, S., & Schneider, O. (2017). Emulating the Expert: Inverse Optimization through Online Learning. In Precup D, Teh YW (Eds.), Proceedings of the 34th International Conference on Machine Learning (ICML) (pp. 400--410). International Convention Centre, Sydney, Australia: PMLR.
Sirvent, M., & Weibelzahl, M. (2017). Airport Capacity Extension, Fleet Investment, and Optimal Aircraft Scheduling in a Four-Level Market Model: On the Effects of Market Regulations.
Sirvent, M., Kanelakis, N., Geißler, B., & Biskas, P. (2017). A Linearized Model for the Optimization of the Coupled Electricity and Natural Gas System. Journal of Modern Power Systems and Clean Energy, 5(3), 364 - 374. https://dx.doi.org/10.1007/s40565-017-0275-2
Müller, J., Pokutta, S., Martin, A., Pape, S., Peter, A., & Winter, T. (2017). Pricing and clearing combinatorial markets with singleton and swap orders: Efficient algorithms for the futures opening auction problem. Mathematical Methods of Operations Research, 85(2), 155-177. https://dx.doi.org/10.1007/s00186-016-0555-z
Steber, D., Seifert, G., Thurner, C., Pruckner, M., Luther, M., Martin, A., & German, R. (2017). KOSiNeK - Kombinierte Optimierung, Simulation und Netzanalyse des elektrischen Energiesystems Deutschlands im europäischen Kontext - Projektvorstellung und erste Ergebnisse. In VDI Wissensforum GmbH (Eds.), VDI-Berichte 2303 (pp. 3-16). Würzburg, DE: Düsseldorf: VDI Verlag GmbH.
Liers, F., Martin, A., & Peter, A. (2017). Mathematical Analysis of Runway Scheduling with Aircraft Precedences.
Bärmann, A., Martin, A., & Schneider, O. (2017). A comparison of performance metrics for balancing the power consumption of trains in a railway network by slight timetable adaptation. Public Transport, 9(1), 95-113. https://dx.doi.org/10.1007/s12469-017-0160-4
Hiller, B., Koch, T., Pfetsch, M.E., Schmidt, M., Geißler, B., Henrion, R.,... Steinbach, M.C. (2017). Capacity Evaluation for Large-Scale Gas Networks.
Grimm, V., Schewe, L., Schmidt, M., & Zöttl, G. (2017). Uniqueness of market equilibrium on a network: A peak-load pricing approach. European Journal of Operational Research, 261(3), 971 - 983. https://dx.doi.org/10.1016/j.ejor.2017.03.036
Geißler, B., Morsi, A., Schewe, L., & Schmidt, M. (2017). Penalty Alternating Direction Methods for Mixed-Integer Optimization: A New View on Feasibility Pumps. SIAM Journal on Optimization, 27(3), 1611-1636. https://dx.doi.org/10.1137/16M1069687
Sieh, V., Burlacu, R., Hönig, T., Janker, H., Raffeck, P., Wägemann, P., & Schröder-Preikschat, W. (2017). An End-To-End Toolchain: From Automated Cost Modeling to Static WCET and WCEC Analysis. In Proceedings of the 20th International Symposium on Real-Time Distributed Computing (ISORC 2017) (pp. 158--167). Toronto, Canada: Institute of Electrical and Electronics Engineers Inc..
Leugering, G., Martin, A., Schmidt, M., & Sirvent, M. (2017). Nonoverlapping Domain Decomposition for Optimal Control Problems governed by Semilinear Models for Gas Flow in Networks. Control and Cybernetics, 46(3), 191-225.
Schmidt, M., Aßmann, D., Burlacu, R., Humpola, J., Joormann, I., Kanelakis, N.,... Sirvent, M. (2017). GasLib - A Library of Gas Network Instances. Data, 2(4). https://dx.doi.org/10.3390/data2040040
Bärmann, A., Martin, A., & Schuelldorf, H. (2017). A Decomposition Method for Multiperiod Railway Network Expansion - With a Case Study for Germany. Transportation Science. https://dx.doi.org/10.1287/trsc.2017.0747


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 2019-24-04 um 10:18