Andreas Bärmann
Dr. Andreas Bärmann
Department of Data Science (DDS)
Lehrstuhl für Analytics & Mixed-Integer Optimization
Cauerstraße 11
91058 Erlangen
- Telefon: +49 9131 85-67159
- Faxnummer: +49 9131 85-67162
- E-Mail: andreas.baermann@math.uni-erlangen.de
Projekte
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Process optimization for hospital logistics
(Drittmittelfinanzierte Einzelförderung)
Laufzeit: seit 01-01-2020
Mittelgeber: Industrie
URL: https://en.www.math.fau.de/edom/projects-edom/logistics-and-production/process-optimization-for-hospital-logistics/ -
Reduced Order Modelling, Simulation and Optimization of Coupled systems
(Drittmittelfinanzierte Gruppenförderung – Teilprojekt)
Titel des Gesamtprojektes: Reduced Order Modelling, Simulation and Optimization of Coupled systems
Laufzeit: 01-09-2017 - 31-08-2021
Mittelgeber: EU - 8. Rahmenprogramm - Horizon 2020
URL: https://www.romsoc.eu/
Publikationen
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On Piecewise Linear Approximations of Bilinear Terms: Structural Comparison of Univariate and Bivariate Mixed-Integer Programming Formulations
(2022)
URL: http://www.optimization-online.org/DB_HTML/2021/08/8536.html
BibTeX: Download - , , :
A decomposition approach for integrated locomotive scheduling and driver rostering in rail freight transport
(2022)
URL: http://www.optimization-online.org/DB_HTML/2021/08/8571.html
BibTeX: Download
- , , :
Efficient Formulations and Decomposition Approaches for Power Peak Reduction in Railway Traffic via Timetabling
In: Transportation Science 55 (2021), S. 747-767
ISSN: 0041-1655
DOI: 10.1287/trsc.2020.1021
BibTeX: Download - , , , , , , , :
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, 13-09-2021 - 14-09-2021)
BibTeX: Download
- , , :
The clique problem with multiple-choice constraints under a cycle-free dependency graph
In: Discrete Applied Mathematics (2020)
ISSN: 0166-218X
DOI: 10.1016/j.dam.2019.12.015
BibTeX: Download
- , , :
Globalized Robust Optimization with Gamma-Uncertainties
(2019)
URL: http://www.optimization-online.org/DB_HTML/2019/06/7253.html
BibTeX: Download
(Techreport)
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An Optimal Expansion Strategy for the German Railway Network Until 2030
In: Fink A, Fügenschuh A, Geiger MJ (Hrsg.): Operations Research Proceedings 2016, Cham: 2018
BibTeX: Download - , , , :
Staircase Compatibility and its Applications in Scheduling and Piecewise Linearization
In: Discrete Optimization 29 (2018), S. 111-132
ISSN: 1572-5286
DOI: 10.1016/j.disopt.2018.04.001
URL: http://www.sciencedirect.com/science/article/pii/S1572528618300306
BibTeX: Download - , :
Aggregation Methods for Railway Network Design Based on Lifted Benders Cuts
In: Borndörfer R, Klug T, Lamorgese L, Mannino C, Reuther M, Schlechte T (Hrsg.): Handbook of Optimization in the Railway Industry, Cham: Springer International Publishing, 2018, S. 47--72
ISBN: 978-3-319-72153-8
DOI: 10.1007/978-3-319-72153-8_3
BibTeX: Download
- , , :
A comparison of performance metrics for balancing the power consumption of trains in a railway network by slight timetable adaptation
In: Public Transport 9 (2017), S. 95-113
ISSN: 1613-7159
DOI: 10.1007/s12469-017-0160-4
BibTeX: Download - , , :
A Decomposition Method for Multiperiod Railway Network Expansion - With a Case Study for Germany
In: Transportation Science (2017)
ISSN: 0041-1655
DOI: 10.1287/trsc.2017.0747
BibTeX: Download - , , :
Emulating the Expert: Inverse Optimization through Online Learning
In: Precup D, Teh YW (Hrsg.): Proceedings of the 34th International Conference on Machine Learning (ICML), International Convention Centre, Sydney, Australia: 2017
URL: http://proceedings.mlr.press/v70/barmann17a.html
BibTeX: Download
- , , , , :
Polyhedral approximation of ellipsoidal uncertainty sets via extended formulations: a computational case study
In: Computational Management Science 13 (2015), S. 151-193
ISSN: 1619-697X
DOI: 10.1007/s10287-015-0243-0
BibTeX: Download - , , , , , :
Solving Network Design Problems via Iterative Aggregation
In: Mathematical Programming Computation 7 (2015), S. 189-217
ISSN: 1867-2957
DOI: 10.1007/s12532-015-0079-1
BibTeX: Download
Lehre
Übung (UE)
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Tutorial zu Diskrete Optimierung I
1 SWS
- Mi 14:00-16:00, (außer vac) .ics: Termin Mi 14:00-16:00 in den Kalender importieren
Seminar (SEM)
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Seminar Data Science in Forschung und Industrie
2 SWS
ECTS-Studium
ECTS-Credits: 5
- Mo 16:00-18:00, (außer vac) .ics: Termin Mo 16:00-18:00 in den Kalender importieren
Vorlesung (VORL)
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Diskrete Optimierung I
2 SWS
- Fr 8:00-10:00, Raum H12 (außer vac) .ics: Termin Fr 8:00-10:00 in den Kalender importieren