Angewandte Methoden der algorithmischen Intelligenz (A²IM)

Algorithmische Intelligenz zielt auf die Berechnung "intelligenter" Entscheidungen ab. Die Abteilung A²IM wendet fortgeschrittene KI-Methoden aus der mathematischen Optimierung und dem maschinellen Lernen an, um neue intelligente algorithmische Lösungen für Probleme der realen Welt zu erforschen. Unsere Forschung befasst sich insbesondere mit der besseren Planung, Erweiterung und Kontrolle von lebenswichtigen und komplexen Infrastrukturnetzwerken.

Die Abteilung arbeitet eng mit dem Fachgebiert Software und Algorithmen für die diskrete Optimierung an der TU Berlin zusammen.

Publikationen

2021 2020

2021
Milena Petkovic, Thorsten Koch, Janina Zittel	Deep learning for spatio-temporal supply and demand forecasting in natural gas transmission networks	ZIB-Report 21-01	PDF BibTeX URN
2020
Ryohei Yokoyama, Hiroki Kamada, Yuji Shinano, Tetsuya Wakui	A Hierarchical Optimization Approach to Robust Design of Energy Supply Systems Based on a Mixed-Integer Linear Model	Conference, pp. 601-613, International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2020 (in press)	BibTeX
Dieter Most, Spyros Giannelos, Inci Yueksel-Erguen, Daniel Beulertz, Utz-Uwe Haus, Sandrine Charousset-Brignol, Antonio Frangioni	A Novel Modular Optimization Framework for Modelling Investment and Operation of Energy Systems at European Level	ZIB-Report 20-08	PDF BibTeX URN
Lovis Anderson, Mark Turner, Thorsten Koch	A generative deep learning approach towards decisions in transient gas networks	ZIB-Report 20-38	PDF BibTeX
Koch Thorsten, Ying Chen, Kian Guan Lim, Xiaofei Xu, Nazgul Zakiyeva	A review study of functional autoregressive models with application to energy forecasting	WIREs Computational Statistics, 2020	BibTeX DOI
Ansgar Rössig, Milena Petkovic	Advances in Verification of ReLU Neural Networks	Journal of Global Optimization, 2020 (online-first, preprint available as )	BibTeX DOI
Thorsten Koch, Daniel Rehfeldt, Yuji Shinano	An exact high performance solver for Steiner tree problems in graphs and related problems	Modeling, Simulation and Optimization of Complex Processes HPSC 2018, Springer, 2020 (accepted for publication)	BibTeX
Uwe Gotzes, Kai Hoppmann-Baum	Bounding the final rank during a round robin tournament with integer programming	Operational Research, Vol.1866-1505, 2020 (in press, preprint available as )	BibTeX DOI
Thorsten Koch, Martin Schmidt, Benjamin Hiller, Marc Pfetsch, Björn Geißler, René Henrion, Imke Joormann, Alexander Martin, Antonio Morsi, Werner Römisch, Lars Schewe, Rüdiger Schultz	Capacity Evaluation for Large-Scale Gas Networks	German Success Stories, 2020 (accepted for publication)	BibTeX
Felix Hennings, Lovis Anderson, Kai Hoppmann-Baum, Mark Turner, Thorsten Koch	Controlling transient gas flow in real-world pipeline intersection areas	2020 (epub ahead of print, preprint available as )	BibTeX DOI
Ying Chen, Xiuqin Xu, Thorsten Koch	Day-ahead high-resolution forecasting of natural gas demand and supply in Germany with a hybrid model	Applied Energy, 262(114486), 2020	BibTeX DOI
Ryohei Yokoyama, Kotaro Takeuchi, Yuji Shinano, Tetsuya Wakui	Effect of Model Reduction by Time Aggregation in Multiobjective Optimal Design of Energy Supply Systems by a Hierarchical MILP Method	Conference, pp. 627-639, International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2020 (in press)	BibTeX
Ambros Gleixner, Nils-Christian Kempke, Thorsten Koch, Daniel Rehfeldt, Svenja Uslu	First Experiments with Structure-Aware Presolving for a Parallel Interior-Point Method	Operations Research Proceedings 2019, pp. 105-111, 2020 (preprint available as )	BibTeX DOI
Kai Hoppmann-Baum, Felix Hennings, Janina Zittel, Uwe Gotzes, Eva-Maria Spreckelsen, Klaus Spreckelsen, Thorsten Koch	From Natural Gas towards Hydrogen - A Feasibility Study on Current Transport Network Infrastructure and its Technical Control	ZIB-Report 20-27	PDF BibTeX URN
Daniel Rehfeldt, Thorsten Koch	Implications, conflicts, and reductions for Steiner trees	ZIB-Report 20-28	PDF BibTeX URN
Kai Hoppmann-Baum, Gioni Mexi, Oleg Burdakov, Carl Johan Casselgren, Thorsten Koch	Length-Constrained Cycle Partition with an Application to UAV Routing	ZIB-Report 20-30	PDF BibTeX URN
Inci Yueksel Erguen, Janina Zittel, Ying Wang, Felix Hennings, Thorsten Koch	Lessons learned from gas network data preprocessing	ZIB-Report 20-13	PDF BibTeX URN
Thorsten Koch, Natalia Selini Hadjidimitriou, Antonio Frangioni, Andrea Lodi	Mathematical Optimization for Efficient and Robust Energy Networks	Springer, 2020, ISBN: 978-3-030-57441-3	BibTeX DOI
Natalia Selini Hadjidimitriou, Antonio Frangioni, Andrea Lodi, Thorsten Koch	Mathematical Optimization for Efficient and Robust Energy Networks	Natalia Selini Hadjidimitriou, Antonio Frangioni, Andrea Lodi, Thorsten Koch (Eds.), Springer, 2020, ISBN: 978-3-030-57441-3	BibTeX
Kai Hoppmann-Baum, Gioni Mexi, Oleg Burdakov, Carl Johan Casselgren, Thorsten Koch	Minimum Cycle Partition with Length Requirements	Vol.12296, Emmanuel Hebrard, Nysret Musliu (Eds.), Springer, 2020, ISBN: 978-3-030-58941-7	BibTeX DOI
Ying Chen, Nazgul Zakiyeva, Bangzhu Zhu, Thorsten Koch	Modeling and Forecasting the Dynamics of the Natural Gas Transmission Network in Germany with the Demand and Supply Balance Constraint	Applied Energy, 2020	BibTeX DOI
Andreas Griewank, Tom Streubel, Caren Tischendorf	On the abs-polynomial expansion of piecewise smooth functions	Optimization Methods and Software, 2020 (epub ahead of print, preprint available as )	BibTeX DOI
Daniel Rehfeldt, Thorsten Koch	On the exact solution of prize-collecting Steiner tree problems	ZIB-Report 20-11	PDF BibTeX URN
Daniel Rehfeldt, Henriette Franz, Thorsten Koch	Optimal Connected Subgraphs: Formulations and Algorithms	ZIB-Report 20-23	PDF BibTeX URN
Kai Hoppmann-Baum, Felix Hennings, Ralf Lenz, Uwe Gotzes, Nina Heinecke, Klaus Spreckelsen, Thorsten Koch	Optimal Operation of Transient Gas Transport Networks	Optimization and Engineering, 2020 (accepted for publication, preprint available as )	BibTeX
Tom Streubel, Caren Tischendorf, Andreas Griewank	Piecewise Polynomial Taylor Expansions - The Generalization of Faà di Bruno's Formula	Modeling, Simulation and Optimization of Complex Processes HPSC 2018, pp. 63-82, 2020 (epub ahead of print, preprint available as )	BibTeX DOI
Felix Prause, Kai Hoppmann-Baum, Boris Defourny, Thorsten Koch	The Maximum Diversity Assortment Selection Problem	Mathematical Methods of Operations Research, 2020 (under review, preprint available as ZIB-Report 20-34)	PDF (ZIB-Report) BibTeX

Angewandte Methoden der algorithmischen Intelligenz (A²IM)

Arbeitsgruppen:

Mitglieder:

Publikationen

2021

2020