Thomas Bartz-Beielstein

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 67

Top Venues

Dortmund University of Technology (PHD)

Education History

Dortmund University of Technology

PHD

Publications

Thomas Bartz-Beielstein
Simplifying Hyperparameter Tuning in Online Machine Learning - The spotRiverGUI. CoRR (2024)
Sowmya Chandrasekaran, Thomas Bartz-Beielstein
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity. CoRR (2024)
Thomas Bartz-Beielstein
PyTorch Hyperparameter Tuning - A Tutorial for spotPython. CoRR (2023)
Thomas Bartz-Beielstein
Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython. CoRR (2023)
Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
A new taxonomy of global optimization algorithms. Nat. Comput. 21 (2) (2022)
Aljosa Vodopija, Jörg Stork, Thomas Bartz-Beielstein, Bogdan Filipic
Elevator group control as a constrained multiobjective optimization problem. Appl. Soft Comput. 115 (2022)
Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
Co-optimizing for task performance and energy efficiency in evolvable robots. Eng. Appl. Artif. Intell. 113 (2022)
Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz-Beielstein
Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm. IEEE Trans. Evol. Comput. 26 (6) (2022)
Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots. CoRR (2021)
Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
Behavior-based Neuroevolutionary Training in Reinforcement Learning. CoRR (2021)
Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization. CoRR (2021)
Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
Impact of energy efficiency on the morphology and behaviour of evolved robots. GECCO Companion (2021)
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis. CoRR (2021)
Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
Behavior-based neuroevolutionary training in reinforcement learning. GECCO Companion (2021)
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, A. Sen, Aleksandr Subbotin, Martin Zaefferer
Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis. GECCO Companion (2021)
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Tom Lawton, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. CEC (2021)
Jörg Stork, Philip Wenzel, Severin Landwein, María-Elena Algorri, Martin Zaefferer, Wolfgang Kusch, Martin Staubach, Thomas Bartz-Beielstein, Hartmut Köhn, Hermann Dejager, Christian Wolf
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. CoRR (2021)
Thomas Bartz-Beielstein
Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT. CoRR (2021)
Margarita Rebolledo, A. E. Eiben, Thomas Bartz-Beielstein
Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments. EvoApplications (2021)
Tom Peetz, Sebastian Vogt, Martin Zaefferer, Thomas Bartz-Beielstein
Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools. CoRR (2020)
Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
Parallelized Bayesian Optimization for Expensive Robot Controller Evolution. PPSN (1) (2020)
Andreas Fischbach, Thomas Bartz-Beielstein
Improving the reliability of test functions generators. Appl. Soft Comput. 92 (2020)
Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach, Olaf Mersmann
Optimization of High-dimensional Simulation Models Using Synthetic Data. CoRR (2020)
Margarita Alejandra Rebolledo Coy, Sowmya Chandrasekaran, Thomas Bartz-Beielstein
Sensor Placement for Contamination Detection in Water Distribution Systems. CoRR (2020)
Margarita Rebolledo, Ruxandra Stoean, A. E. Eiben, Thomas Bartz-Beielstein
Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization. BIOMA (2020)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Understanding the Behavior of Reinforcement Learning Agents. BIOMA (2020)
Lorenzo Gentile, Elisa Morales, Domenico Quagliarella, Edmondo A. Minisci, Thomas Bartz-Beielstein, Renato Tognaccini
High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm. CEC (2020)
Jan Strohschein, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. CoRR (2020)
Thomas Bartz-Beielstein, Frederik Rehbach, Olaf Mersmann, Eva Bartz
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic. CoRR (2020)
Sowmya Chandrasekaran, Margarita Rebolledo, Thomas Bartz-Beielstein
EventDetectR - An Open-Source Event Detection System. CoRR (2020)
Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
Expected improvement versus predicted value in surrogate-based optimization. GECCO (2020)
Margarita Rebolledo, Sowmya Chandrasekaran, Thomas Bartz-Beielstein
Technical Report: Flushing Strategies in Drinking Water Systems. CoRR (2020)
Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
Expected Improvement versus Predicted Value in Surrogate-Based Optimization. CoRR (2020)
Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
Parallelized bayesian optimization for problems with expensive evaluation functions. GECCO Companion (2020)
Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile
Preliminary spacecraft design by means of Structured-Chromosome Genetic Algorithms. CEC (2020)
Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein
Variable reduction for surrogate-based optimization. GECCO (2020)
Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise
Benchmarking in Optimization: Best Practice and Open Issues. CoRR (2020)
Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein
CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. CoRR (2020)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. CoRR (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. EvoApplications (2019)
Thomas Bartz-Beielstein
Why we need an AI-resilient society. CoRR (2019)
Cristian Greco, Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Massimiliano Vasile, Thomas Bartz-Beielstein
Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation. CEC (2019)
Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. CoRR (2019)
Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. ETFA (2019)
Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein
Feature selection for surrogate model-based optimization. GECCO (Companion) (2019)
Lorenzo Gentile, Cristian Greco, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile
Structured-chromosome GA optimisation for satellite tracking. GECCO (Companion) (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. CoRR (2019)
Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph
An empirical approach for probing the definiteness of kernels. Soft Comput. 23 (21) (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. GECCO (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
Distance-based Kernels for Surrogate Model-based Neuroevolution. CoRR (2018)
Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
A new Taxonomy of Continuous Global Optimization Algorithms. CoRR (2018)
Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
Comparison of parallel surrogate-assisted optimization approaches. GECCO (2018)
Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph
An Empirical Approach For Probing the Definiteness of Kernels. CoRR (2018)
Lorenzo Gentile, Martin Zaefferer, Dario Giugliano, Haofeng Chen, Thomas Bartz-Beielstein
Surrogate assisted optimization of particle reinforced metal matrix composites. GECCO (2018)
Frederik Rehbach, Jörg Stork, Thomas Bartz-Beielstein
Bridging Theory and Practice Through Modular Graphical User Interfaces. J. Multim. Process. Technol. 9 (4) (2018)
Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. PPSN (2) (2018)
Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. CoRR (2018)
Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, Thomas Bartz-Beielstein, A. E. Eiben, Evert Haasdijk
Can social learning increase learning speed, performance or both? ECAL (2017)
Thomas Bartz-Beielstein, Lorenzo Gentile, Martin Zaefferer
In a Nutshell: Sequential Parameter Optimization. CoRR (2017)
Martin Zaefferer, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein
Simulation-based test functions for optimization algorithms. GECCO (2017)
Steffen Moritz, Thomas Bartz-Beielstein
imputeTS: Time Series Missing Value Imputation in R. R J. 9 (1) (2017)
Alexis Sardá, Subanatarajan Subbiah, Thomas Bartz-Beielstein
Conditional inference trees for knowledge extraction from motor health condition data. Eng. Appl. Artif. Intell. 62 (2017)
Thomas Bartz-Beielstein, Martin Zaefferer
Model-based methods for continuous and discrete global optimization. Appl. Soft Comput. 55 (2017)
Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk
Is social learning more than parameter tuning? GECCO (Companion) (2017)
Martin Zaefferer, Thomas Bartz-Beielstein
Efficient Global Optimization with Indefinite Kernels. PPSN (2016)
Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer
Tutorials at PPSN 2016. PPSN (2016)
Martin Zaefferer, Daniel Gaida, Thomas Bartz-Beielstein
Multi-fidelity modeling and optimization of biogas plants. Appl. Soft Comput. 48 (2016)
Steffen Moritz, Alexis Sardá, Thomas Bartz-Beielstein, Martin Zaefferer, Jörg Stork
Comparison of different Methods for Univariate Time Series Imputation in R. CoRR (2015)
Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
Distance Measures for Permutations in Combinatorial Efficient Global Optimization. PPSN (2014)
Martin Zaefferer, Beate Breiderhoff, Boris Naujoks, Martina Friese, Jörg Stork, Andreas Fischbach, Oliver Flasch, Thomas Bartz-Beielstein
Tuning multi-objective optimization algorithms for cyclone dust separators. GECCO (2014)
Thomas Bartz-Beielstein, Jürgen Branke, Jörn Mehnen, Olaf Mersmann
Evolutionary Algorithms. WIREs Data Mining Knowl. Discov. 4 (3) (2014)
Martin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein
Efficient global optimization for combinatorial problems. GECCO (2014)
Martin Zaefferer, Thomas Bartz-Beielstein, Boris Naujoks, Tobias Wagner, Michael Emmerich
A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets. EMO (2013)
Oliver Flasch, Martina Friese, Katya Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks, Jörg Stork, Martin Zaefferer
Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. EvoApplications (2013)
Thomas Bartz-Beielstein, Martin Zaefferer, Boris Naujoks
How to create meaningful and generalizable results. GECCO (Companion) (2013)
Sowmya Chandrasekaran, Thomas Bartz-Beielstein
A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity. EvoApplications@EvoStar (2013)
Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein, Claus Weihs, Wolfgang Konen
Tuning and evolution of support vector kernels. Evol. Intell. 5 (3) (2012)
Thomas Bartz-Beielstein, Oliver Flasch, Martin Zaefferer
Sequential parameter optimization for symbolic regression. GECCO (Companion) (2012)
Martin Zaefferer, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Oliver Flasch
Multi-criteria optimization for hard problems under limited budgets. GECCO (Companion) (2012)
Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Martin Zaefferer
SPOT applied to non-stochastic optimization problems: an experimental study. GECCO (Companion) (2012)
Gabriela Ochoa, Mike Preuss, Thomas Bartz-Beielstein, Marc Schoenauer
Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods. Evol. Comput. 20 (2) (2012)
Thomas Bartz-Beielstein, Mike Preuß, Martin Zaefferer
Statistical analysis of optimization algorithms with R. GECCO (Companion) (2012)
Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch
Noisy optimization with sequential parameter optimization and optimal computational budget allocation. GECCO (Companion) (2011)
Wolfgang Konen, Patrick Koch, Oliver Flasch, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks
Tuned data mining: a benchmark study on different tuners. GECCO (2011)
Thomas Bartz-Beielstein, Mike Preuss
Automatic and interactive tuning of algorithms. GECCO (Companion) (2011)
Thomas Bartz-Beielstein
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization CoRR (2010)
Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein
RGP: an open source genetic programming system for the R environment. GECCO (Companion) (2010)
Thomas Bartz-Beielstein, Mike Preuss
Tuning and experimental analysis in evolutionary computation: what we still have wrong. GECCO (Companion) (2010)
Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan, Michael Tamutan
Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction. IEEE Congress on Evolutionary Computation (2010)
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oliver Flasch, Wolfgang Konen, Martin Zaefferer
Optimization of biogas production with computational intelligence a comparative study. IEEE Congress on Evolutionary Computation (2010)
Thomas Bartz-Beielstein, Mike Preuss
the future of experimental research. GECCO (Companion) (2009)
Wolfgang Konen, Thomas Bartz-Beielstein
Reinforcement learning for games: failures and successes. GECCO (Companion) (2009)
Thomas Bartz-Beielstein
Sequential Parameter Optimization. Sampling-based Optimization in the Presence of Uncertainty (2009)
Wolfgang Konen, Tobias Zimmer, Thomas Bartz-Beielstein
Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter Parameterselektion (Optimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes). Autom. 57 (3) (2009)
Thomas Bartz-Beielstein
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing. Synth. 163 (3) (2008)
Wolfgang Konen, Thomas Bartz-Beielstein
Reinforcement Learning: Insights from Interesting Failures in Parameter Selection. PPSN (2008)
Thomas Bartz-Beielstein, Mike Preuss
Experimental research in evolutionary computation. GECCO (Companion) (2008)
Thomas Bartz-Beielstein, Mike Preuss
Experimental research in evolutionary computation. GECCO (Companion) (2007)
Thomas Bartz-Beielstein, Mike Preuss, Günter Rudolph
Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations. Hybrid Metaheuristics (2006)
Thomas Bartz-Beielstein, Annette Chmielewski, Michael Janas, Boris Naujoks, Robert Scheffermann
Optimizing Door Assignment in LTL-Terminals by Evolutionary Multiobjective Algorithms. IEEE Congress on Evolutionary Computation (2006)

Thomas Bartz-Beielstein.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Thomas Bartz-Beielstein