Tobias Seidel

According to our database, Tobias Seidel authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 2025

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

2024

Combining discrete and continuous information for multi-criteria optimization problems.

Katrin Teichert, Tobias Seidel, Philipp Süss

Math. Methods Oper. Res., August, 2024

A unified approach to inverse robust optimization problems.

Holger Berthold, Till Heller, Tobias Seidel

Math. Methods Oper. Res., April, 2024

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

A Quantum Optimization Case Study for a Transport Robot Scheduling Problem.

Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Isobel Jones, Abhishek Awasthi, Astrid Elisa Niederle, Michael Bortz

CoRR, 2023

2022

Solving continuous set covering problems by means of semi-infinite optimization.

Helene Krieg, Tobias Seidel, Jan Schwientek, Karl-Heinz Küfer

Math. Methods Oper. Res., 2022

Simultaneous simulation and optimization of multiple dividing wall columns.

Tobias Seidel, Lena-Marie Ränger, Thomas Grützner, Michael Bortz

Comput. Chem. Eng., 2022

2021

A transformation-based discretization method for solving general semi-infinite optimization problems.

Jan Schwientek, Tobias Seidel, Karl-Heinz Küfer

Math. Methods Oper. Res., 2021

2020

Solving Semi-infinite Optimization Problems with Quadratic Rate of Convergence.

Tobias Seidel

PhD thesis, 2020

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