Tobias Seidel

16 papers Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A machine learning-fueled modelfluid for flowsheet optimization.
Comput. Chem. Eng.
Martin Bubel, Tobias Seidel, Michael Bortz
2026 J jnl
Reusable surrogate models for distillation columns.
Comput. Chem. Eng.
Martin Bubel, Tobias Seidel, Michael Bortz
2025 J jnl
A Machine Learning-Fueled Modelfluid for Flowsheet Optimization.
CoRR
Martin Bubel, Tobias Seidel, Michael Bortz
2025 J jnl
Efficient solution of the number partitioning problem on a quantum annealer: a hybrid quantum-classical decomposition approach.
J. Heuristics
Zongji Li, Tobias Seidel, Dominik Leib, Michael Bortz, Raoul Heese
2025 J jnl
Pareto-optimized Dividing Wall Columns for Ideal Mixtures and Influences of Deviations in Process Variables.
Comput. Chem. Eng.
Lea Trescher, Lena-Marie Ränger, David Mogalle, Tobias Seidel, Michael Bortz, Thomas Grützner
2025 J jnl
Reusable Surrogate Models for Distillation Columns.
CoRR
Martin Bubel, Tobias Seidel, Michael Bortz
2024 J jnl
A unified approach to inverse robust optimization problems.
Math. Methods Oper. Res.
Holger Berthold, Till Heller, Tobias Seidel
2024 J jnl
Combining discrete and continuous information for multi-criteria optimization problems.
Math. Methods Oper. Res.
Katrin Teichert, Tobias Seidel, Philipp Süss
2023 J jnl
A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem.
CoRR
Zongji Li, Tobias Seidel, Michael Bortz, Raoul Heese
2023 J jnl
A Quantum Optimization Case Study for a Transport Robot Scheduling Problem.
CoRR
Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Jones, Abhishek Awasthi, Astrid Elisa Niederle, Michael Bortz
2022 J jnl
Simultaneous simulation and optimization of multiple dividing wall columns.
Comput. Chem. Eng.
Tobias Seidel, Lena-Marie Ränger, Thomas Grützner, Michael Bortz
2022 J jnl
Solving continuous set covering problems by means of semi-infinite optimization.
Math. Methods Oper. Res.
Helene Krieg, Tobias Seidel, Jan Schwientek, Karl-Heinz Küfer
2021 J jnl
A transformation-based discretization method for solving general semi-infinite optimization problems.
Math. Methods Oper. Res.
Jan Schwientek, Tobias Seidel, Karl-Heinz Küfer
2020 — —
Solving Semi-infinite Optimization Problems with Quadratic Rate of Convergence.
Tobias Seidel
2019 J jnl
Optimized data exploration applied to the simulation of a chemical process.
Comput. Chem. Eng.
Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz
2019 J jnl
Optimized data exploration applied to the simulation of a chemical process.
CoRR
Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz