Sprechstunden nach Vereinbarung
In meiner Forschung beschäftige ich mich mit der mathematischen Optimierung und systemdynamischen Modellierung von Fragestellungen aus Wissenschaft und Praxis. Darüber hinaus arbeite ich an der Weiterentwicklung von gemischt-ganzzahliger Lösungssoftware.
| Semester | Fach |
|---|---|
| SS 23 | Diskrete Optimierung |
| WS/SS | Betreuung studentischer Arbeiten |
Hansknecht, C.; Joormann, I.; Korn, B.; Morscheck, F.; Stiller, S. (2022): Feeder routing for air-to-air-refueling, in: European Journal of Operational Research, 304 (2), Elsevier, pp. 779–796.
Hansknecht, C.; Joormann, I.; Stiller, S. (2021): Dynamic Shortest Paths Methods for the Time-Dependent TSP, in: Algorithms, 14 (1), MDPI.
Hojny, C.; Joormann, I.; Lüthen, H; Schmidt, M. (2020): Mixed-Integer Programming Techniques for the Connected Max-k-Cut Problem, in: Mathematical Programming Computation, Springer, pp. 1–58.
Joormann, I.; Pfetsch, M.E. (2018): Complexity of Minimum Irreducible Infeasible Subsystem Covers for Flow Networks, in: Discrete Applied Mathematics, 244, Elsevier, pp. 124–142.
Schmidt, M.; Aßmann, D.; Burlacu, R.; Humpola, J.; Joormann, I.; Kanelakis, N.; Koch, T.; Ouchrif, D.; Pfetsch, M.E.; Schewe, L. (2017): Gaslib - A Library of Gas Network Instances, in: Data, 2 (4), Multidisciplinary Digital Publishing Institute.
Joormann, I.; Orlin, J.B.; Pfetsch, M.E. (2016): A characterization of irreducible infeasible subsystems in flow networks, in: Network, 68 (2), Wiley Online Library, pp. 121–129.
Joormann, I. (2015): Analyzing Infeasible Flow Networks, Dr. Hut Verlag, TU Darmstadt, Ph.D. Thesis.
Manke, L.-M.; Joormann, I. (2022): Aircraft Fleet Planning: An Optimization Model with Integrated CO2 Trading Systems, in: Operations Research Proceedings 2022, Springer, (to appear).
Talwar, C.; Joormann, I.; Spengler, T. S. (2022): Comparison of adoption rates of hydrogen, hydrogen-electric and SAF in the future air transport system with a system dynamics model, in: Operations Research Proceedings 2022, Springer, (to appear).
Hiller, B.; Koch, T.; Pfetsch, M.E.; Geißler, B.; Henrion, R.; Joormann, I.; Martin, A.; Morsi, A.; Römisch, W.; Schewe, L.; Schmidt, M; Schultz, R.; Steinbach, M. (2021): Capacity Evaluation for Large-Scale Gas Networks, in: Bock, H.G.; Küfer, K.H.; Maass, P.; Schulz, V. (ed.): German Success Stories in Industrial Mathematics, Springer International Publishing, pp. 23–28.
Joormann, I.; Schmidt, M.; Steinbach, M.C.; Willert, B.M. (2015): What does "feasible" mean?, in: Koch, T.; Hiller, B.; Pfetsch, M.E.; Schewe, L. (ed.): Evaluating gas network capacities, MOS-SIAM Series on Optimization, SIAM, pp. 211–232.
Talwar, C.; Joormann, I.; Ginster, R. (2021): A System Dynamics Model of the Air Transport System – Data set.
Talwar, C.; Joormann, I.; Ginster, R.; Spengler, T. S. (2021): A System Dynamics Model of the Air Transport System – Model description.
Hansknecht, C.; Joormann, I.; Korn, B.; Morscheck, F.; Stiller, S. (2019): Feeder Routing for Air-to-Air Refueling Operations, Optimization Online.
Hansknecht, C.; Joormann, I.; Stiller, S. (2018): Cuts, Primal Heuristics, and Learning to Branch for the Time-Dependent Traveling Salesman Problem, arXiv.
Hojny, C.; Joormann, I.; Lüthen, H; Schmidt, M. (2018): Mixed-Integer Programming Techniques for the Connected Max-k-Cut Problem, Optimization Online.