Exploring single and dual rail optical network architectures using reliability predictions. - B. Manseur; Ahmed Mokhtar; Michael Bortz (DRCN, 2003)

OXC port dimensioning strategies in optical networks-a nodal perspective. - Ahmed Mokhtar; Mokhtar Lotfi Benmohamed; Michael Bortz (IEEE Commun. Lett., 2004)

Multi-criteria optimization in chemical process design and decision support by navigation on Pareto sets. - Michael Bortz; Jakob Burger; Norbert Asprion; Sergej Blagov; Roger Böttcher; U. Nowak; A. Scheithauer; Richard Welke; Karl-Heinz Küfer; Hans Hasse (Comput. Chem. Eng., 2014)

Challenges in process optimization for new feedstocks and energy sources. - Alexander Mitsos; Norbert Asprion; Christodoulos A. Floudas; Michael Bortz; Michael Baldea; Dominique Bonvin; Adrian Caspari; Pascal Schäfer (Comput. Chem. Eng., 2018)

The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge. - Raoul Heese; Michal Walczak; Lukas Morand; Dirk Helm; Michael Bortz (ICANN (Workshop), 2019)

A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering. - Jan Schwientek; Charlie Vanaret; Johannes Höller; Patrick Schwartz; Philipp Seufert; Norbert Asprion; Roger Böttcher; Michael Bortz (OR, 2019)

Optimized data exploration applied to the simulation of a chemical process. - Raoul Heese; Michal Walczak; Tobias Seidel; Norbert Asprion; Michael Bortz (Comput. Chem. Eng., 2019)

Pareto Optimization and Decision Making in Process Design. - Michael Bortz (Fraunhofer Verlag, 2019)

Shells within Minimum Enclosing Balls. - Christian Bauckhage; Michael Bortz; Rafet Sifa (DSAA, 2020)

Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. - Raoul Heese; Michael Bortz (ICPR, 2020)

Multi-Objective Optimization of Dividing Wall Columns and Visualization of the High-Dimensional Results. - Lena-Marie Ränger; Martin von Kurnatowski; Michael Bortz; Thomas Grützner (Comput. Chem. Eng., 2020)

CupNet - Pruning a Network for Geometric Data. - Raoul Heese; Lukas Morand; Dirk Helm; Michael Bortz (ICANN (4), 2021)

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? - Charlie Vanaret; Philipp Seufert; Jan Schwientek; Gleb Karpov; Gleb V. Ryzhakov; Ivan V. Oseledets; Norbert Asprion; Michael Bortz (Comput. Chem. Eng., 2021)

Calibrated Simplex Mapping Classification. - Raoul Heese; Michal Walczak; Michael Bortz; Jochen Schmid (CoRR, 2021)

A Tri-Level Approach for T-Criterion-Based Model Discrimination. - David Mogalle; Philipp Seufert; Jan Schwientek; Michael Bortz; Karl-Heinz Küfer (OR, 2022)

Simultaneous simulation and optimization of multiple dividing wall columns. - Tobias Seidel; Lena-Marie Ränger; Thomas Grützner; Michael Bortz (Comput. Chem. Eng., 2022)

Deep Anomaly Detection on Tennessee Eastman Process Data. - 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; et al. (CoRR, 2023)

A Quantum Optimization Case Study for a Transport Robot Scheduling Problem. - Dominik Leib; Tobias Seidel; Sven Jäger 001; Raoul Heese; Caitlin Isobel Jones; Abhishek Awasthi; Astrid Elisa Niederle; Michael Bortz (CoRR, 2023)

A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem. - Zongji Li; Tobias Seidel; Michael Bortz; Raoul Heese (CoRR, 2023)

Cubature-based uncertainty estimation for nonlinear regression models. - Martin Bubel; Jochen Schmid; Maximilian Carmesin; Volodymyr Kozachynskyi; Erik Esche; Michael Bortz (CoRR, 2024)

Machine learning surrogates for the optimization of curing ovens. - Quentin Parsons; Dimitri Nowak; Michael Bortz; Tomas Johnson; Andreas Mark; Fredrik Edelvik (Eng. Appl. Artif. Intell., 2024)

Hierarchical Multicriteria Optimization of Molecular Models of Water. - Aditya Kulkarni; Michael Bortz; Karl-Heinz Küfer; Maximilian Kohns; Hans Hasse (J. Chem. Inf. Model., 2024)

Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization. - David Mogalle; Philipp Seufert; Jan Schwientek; Michael Bortz; Karl-Heinz Küfer (Comput. Stat., 2024)

Pareto-optimized Dividing Wall Columns for Ideal Mixtures and Influences of Deviations in Process Variables. - Lea Trescher; Lena-Marie Ränger; David Mogalle; Tobias Seidel; Michael Bortz; Thomas Grützner (Comput. Chem. Eng., 2025)

Efficient solution of the number partitioning problem on a quantum annealer: a hybrid quantum-classical decomposition approach. - Zongji Li; Tobias Seidel; Dominik Leib; Michael Bortz; Raoul Heese (J. Heuristics, 2025)