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Books and Theses
- 2019
[b1]Michael Bortz:
Pareto Optimization and Decision Making in Process Design. Kaiserslautern University of Technology, Germany, Fraunhofer Verlag 2019, ISBN 978-3-8396-1523-2, pp. 1-184
Journal Articles
- 2024
- [j10]David Mogalle
, Philipp Seufert, Jan Schwientek, Michael Bortz, Karl-Heinz Küfer:
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization. Comput. Stat. 39(5): 2451-2478 (2024) - [j9]Quentin Parsons, Dimitri Nowak, Michael Bortz, Tomas Johnson, Andreas Mark, Fredrik Edelvik:
Machine learning surrogates for the optimization of curing ovens. Eng. Appl. Artif. Intell. 133: 108086 (2024) - [j8]Aditya Kulkarni, Michael Bortz, Karl-Heinz Küfer, Maximilian Kohns, Hans Hasse:
Hierarchical Multicriteria Optimization of Molecular Models of Water. J. Chem. Inf. Model. 64(13): 5077-5089 (2024) - 2022
- [j7]Tobias Seidel, Lena-Marie Ränger, Thomas Grützner, Michael Bortz:
Simultaneous simulation and optimization of multiple dividing wall columns. Comput. Chem. Eng. 157: 107607 (2022) - 2021
- [j6]Charlie Vanaret, Philipp Seufert, Jan Schwientek, Gleb Karpov, Gleb V. Ryzhakov, Ivan V. Oseledets, Norbert Asprion, Michael Bortz:
Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? Comput. Chem. Eng. 146: 107218 (2021) - 2020
- [j5]Lena-Marie Ränger, Martin von Kurnatowski, Michael Bortz, Thomas Grützner:
Multi-Objective Optimization of Dividing Wall Columns and Visualization of the High-Dimensional Results. Comput. Chem. Eng. 142: 107059 (2020) - 2019
- [j4]Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz:
Optimized data exploration applied to the simulation of a chemical process. Comput. Chem. Eng. 124: 326-342 (2019) - 2018
- [j3]Alexander Mitsos, Norbert Asprion, Christodoulos A. Floudas, Michael Bortz, Michael Baldea, Dominique Bonvin, Adrian Caspari, Pascal Schäfer:
Challenges in process optimization for new feedstocks and energy sources. Comput. Chem. Eng. 113: 209-221 (2018) - 2014
- [j2]Michael Bortz, Jakob Burger, Norbert Asprion, Sergej Blagov, Roger Böttcher, U. Nowak, A. Scheithauer, Richard Welke, Karl-Heinz Küfer, Hans Hasse:
Multi-criteria optimization in chemical process design and decision support by navigation on Pareto sets. Comput. Chem. Eng. 60: 354-363 (2014) - 2004
- [j1]Ahmed Mokhtar, Mokhtar Lotfi Benmohamed, Michael Bortz:
OXC port dimensioning strategies in optical networks-a nodal perspective. IEEE Commun. Lett. 8(5): 283-285 (2004)
Conference and Workshop Papers
- 2022
- [c7]David Mogalle, Philipp Seufert, Jan Schwientek, Michael Bortz, Karl-Heinz Küfer:
A Tri-Level Approach for T-Criterion-Based Model Discrimination. OR 2022: 87-93 - 2021
- [c6]Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz:
CupNet - Pruning a Network for Geometric Data. ICANN (4) 2021: 29-33 - 2020
- [c5]Christian Bauckhage, Michael Bortz, Rafet Sifa:
Shells within Minimum Enclosing Balls. DSAA 2020: 178-187 - [c4]Raoul Heese, Michael Bortz:
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. ICPR 2020: 3404-3411 - 2019
- [c3]Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz:
The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge. ICANN (Workshop) 2019: 391-395 - [c2]Jan Schwientek, Charlie Vanaret, Johannes Höller, Patrick Schwartz, Philipp Seufert, Norbert Asprion, Roger Böttcher, Michael Bortz:
A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering. OR 2019: 513-519 - 2003
- [c1]B. Manseur, Ahmed Mokhtar, Michael Bortz:
Exploring single and dual rail optical network architectures using reliability predictions. DRCN 2003: 387-392
Informal and Other Publications
- 2024
- [i9]Martin Bubel, Jochen Schmid, Maximilian Carmesin, Volodymyr Kozachynskyi, Erik Esche, Michael Bortz:
Cubature-based uncertainty estimation for nonlinear regression models. CoRR abs/2409.08756 (2024) - 2023
- [i8]Fabian Hartung, Billy Joe Franks, Tobias Michels, Dennis Wagner, Philipp Liznerski, Steffen Reithermann, Sophie Fellenz, Fabian Jirasek, Maja Rudolph, Daniel Neider, Heike Leitte, Chen Song, Benjamin Klöpper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft:
Deep Anomaly Detection on Tennessee Eastman Process Data. CoRR abs/2303.05904 (2023) - [i7]Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Isobel Jones, Abhishek Awasthi, Astrid Elisa Niederle, Michael Bortz:
A Quantum Optimization Case Study for a Transport Robot Scheduling Problem. CoRR abs/2309.09736 (2023) - [i6]Zongji Li, Tobias Seidel, Michael Bortz, Raoul Heese:
A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem. CoRR abs/2312.08940 (2023) - 2021
- [i5]Raoul Heese, Michal Walczak, Michael Bortz, Jochen Schmid:
Calibrated Simplex Mapping Classification. CoRR abs/2103.02926 (2021) - 2020
- [i4]Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz:
CupNet - Pruning a network for geometric data. CoRR abs/2005.05276 (2020) - [i3]Raoul Heese, Michael Bortz:
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. CoRR abs/2008.12005 (2020) - 2019
- [i2]Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz:
Optimized data exploration applied to the simulation of a chemical process. CoRR abs/1902.06453 (2019) - [i1]Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz:
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge. CoRR abs/1907.11105 (2019)
Coauthor Index
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