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Papers matching “process optimization” 49

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A Collaborative Bayesian Optimization Dashboard for Manufacturing Process Optimization
2026 Procedia CIRP article Decision Sciences Optimal Experimental Design Methods Open access

Lars Leyendecker, Mohamed Amine Kooli, Christian Wergers, Dennis Grunert, Robert Heinrich Schmitt

1

citations
A Conceptual Framework for Production Process Parameter Optimization with Modular Hybrid Simulations
2023 Lecture notes in computer science conference-paper Decision Sciences Simulation Techniques and Applications

Sylwia Olbrych, Marco Kemmerling, Hans Aoyang Zhou, Daniel Lütticke, Robert Heinrich Schmitt

0

citations
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr

2

citations
Optimization of the Production of Rubber Compounds Using Mathematical Models
2026 Advanced Engineering Materials article Decision Sciences Optimal Experimental Design Methods Open access

Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, +2 more

0

citations
A Guide to Bayesian Optimization in Bioprocess Engineering
2026 RWTH Publications (RWTH Aachen) article Decision Sciences Optimal Experimental Design Methods Open access

Maximilian Siska, Emma Pajak, Katrin Rosenthal, Ehecatl Antonio del Rio‐Chanona, Eric von Lieres und Wilkau, Laura M. Helleckes

0

citations
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
2022 Lecture notes in computer science conference-paper Decision Sciences Advanced Bandit Algorithms Research

Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr

15

citations
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
2026 RWTH Publications (RWTH Aachen) article Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Sebastian Trimpe

0

citations
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Sebastian Trimpe

0

citations
Solving multi-leader-follower games via parametric optimization
2026 EURO Journal on Computational Optimization article Decision Sciences Game Theory and Applications Open access

Sonja Steffensen, Addis Belete Zewde

0

citations
On Controller Tuning with Time-Varying Bayesian Optimization
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Alexander von Rohr, Sebastian Trimpe

16

citations
A Systematic Review of Social Media Analytics Pipelines: Verification, Optimization, and Scalable Computing Perspectives
2025 International Journal on Advanced Computer Theory and Engineering review Decision Sciences Big Data Technologies and Applications Open access

A. G. Lewis, B. Horváth, R. Costa

0

citations
Preferential Bayesian Optimization With Crash Feedback
2026 IEEE Robotics and Automation Letters article Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Sebastian Trimpe

0

citations
Matroid optimization in auction theory
2025 RWTH Publications (RWTH Aachen) dissertation Decision Sciences Auction Theory and Applications Open access

Niklas Rieken

0

citations
On Safety in Safe Bayesian Optimization
2024 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Lukas Kreisköther, Sebastian Trimpe

3

citations
Event-Triggered Time-Varying Bayesian Optimization
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

1

citations
A Hybrid Approach for Stock Market Price Forecasting Using Long Short-Term Memory and Seahorse Optimization Algorithm
2025 Annals of Data Science article Decision Sciences Stock Market Forecasting Methods Open access

Burak Gülmez

7

citations
Statistical Process Control Benchmark Dataset
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Advanced Statistical Process Monitoring Open access

Tobias Schulze, Huebser Louis

0

citations
Optimal experimental design of physical property measurements for optimal chemical process simulations
2022 Fluid Phase Equilibria article Decision Sciences Optimal Experimental Design Methods Open access

Lorenz Fleitmann, Jan F. Pyschik, L. Wolff, Johannes Schilling, André Bardow

9

citations
Statistical Process Control Benchmark Dataset
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Advanced Statistical Process Monitoring Open access

Tobias Schulze, Huebser Louis

0

citations
Lipschitz Safe Bayesian Optimization for Automotive Control
2024 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Decision Sciences Advanced Bandit Algorithms Research

Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse, Sebastian Trimpe

1

citations
Lipschitz Safe Bayesian Optimization for Automotive Control
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse, Sebastian Trimpe

0

citations
Comparison of grouping algorithms to increase the sample size for statistical process control
2020 SN Applied Sciences article Decision Sciences Advanced Statistical Process Monitoring Open access

Jonathan Greipel, Gina Nottenkämper, Robert Heinrich Schmitt

3

citations
Event-Triggered Safe Bayesian Optimization on Quadcopters
2023 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe

0

citations
Bayesian experimental design in production engineering: a comprehensive performance and robustness study
2026 Frontiers in Manufacturing Technology article Decision Sciences Optimal Experimental Design Methods Open access

Lars Leyendecker, Ana Maria Gonzalez Degetau, Katharina Bata, Jessica Emonts, Angela Schmitz, Robert Heinrich Schmitt

0

citations
Quantitative Analysis of Economic Losses Induced by Malevolent Acts of Interference to Process Facilities
2025 conference-paper Decision Sciences Risk and Safety Analysis Open access

Giulia Marroni, Michela Guarguaglini, Sanneke Kuipers, Dino Dentone, Valeria Casson Moreno, Gabriele Landucci

0

citations