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Semantic ScholarThomas Bartz-Beielstein
Thomas Beielstein
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- affiliation: TH Köln, Institute for Data Science, Engineering, and Analytics, Germany
- affiliation (former): Technical University of Dortmund, Germany
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2020 – today
- 2020
[p9]Jörg Stork, Martina Friese, Martin Zaefferer, Thomas Bartz-Beielstein, Andreas Fischbach, Beate Breiderhoff, Boris Naujoks, Tea Tusar:
Open Issues in Surrogate-Assisted Optimization. High-Performance Simulation-Based Optimization 2020: 225-244- [e4]Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-Ghazali Talbi:
High-Performance Simulation-Based Optimization. Studies in Computational Intelligence 833, Springer 2020, ISBN 978-3-030-18763-7 [contents] - [i14]Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein:
Expected Improvement versus Predicted Value in Surrogate-Based Optimization. CoRR abs/2001.02957 (2020) - [i13]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 abs/2003.00925 (2020)
2010 – 2019
- 2019
- [j11]Martin Zaefferer
, Thomas Bartz-Beielstein, Günter Rudolph:
An empirical approach for probing the definiteness of kernels. Soft Comput. 23(21): 10939-10952 (2019) - [c44]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: 497-505 - [c43]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: 729-736 - [c42]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein:
Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels. EvoApplications 2019: 504-519 - [c41]Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein:
Feature selection for surrogate model-based optimization. GECCO (Companion) 2019: 399-400 - [c40]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben:
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. GECCO 2019: 934-942 - [c39]Lorenzo Gentile, Cristian Greco, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile:
Structured-chromosome GA optimisation for satellite tracking. GECCO (Companion) 2019: 1955-1963 - [i12]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein:
Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. CoRR abs/1902.03419 (2019) - [i11]Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann:
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. CoRR abs/1902.08448 (2019) - [i10]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben:
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. CoRR abs/1907.09300 (2019) - [i9]Thomas Bartz-Beielstein:
Why we need an AI-resilient society. CoRR abs/1912.08786 (2019) - 2018
- [j10]Frederik Rehbach, Jörg Stork, Thomas Bartz-Beielstein:
Bridging Theory and Practice Through Modular Graphical User Interfaces. J. Multim. Process. Technol. 9(4): 134-140 (2018) - [c38]Lorenzo Gentile, Martin Zaefferer, Dario Giugliano, Haofeng Chen, Thomas Bartz-Beielstein:
Surrogate assisted optimization of particle reinforced metal matrix composites. GECCO 2018: 1238-1245 - [c37]Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein:
Comparison of parallel surrogate-assisted optimization approaches. GECCO 2018: 1348-1355 - [c36]Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein:
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. PPSN (2) 2018: 220-231 - [i8]Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein:
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. CoRR abs/1807.01019 (2018) - [i7]Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph:
An Empirical Approach For Probing the Definiteness of Kernels. CoRR abs/1807.03555 (2018) - [i6]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein:
Distance-based Kernels for Surrogate Model-based Neuroevolution. CoRR abs/1807.07839 (2018) - [i5]Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein:
A new Taxonomy of Continuous Global Optimization Algorithms. CoRR abs/1808.08818 (2018) - 2017
- [j9]Thomas Bartz-Beielstein, Martin Zaefferer:
Model-based methods for continuous and discrete global optimization. Appl. Soft Comput. 55: 154-167 (2017) - [j8]Alexis Sardá, Subanatarajan Subbiah, Thomas Bartz-Beielstein:
Conditional inference trees for knowledge extraction from motor health condition data. Eng. Appl. Artif. Intell. 62: 26-37 (2017) - [j7]Steffen Moritz, Thomas Bartz-Beielstein:
imputeTS: Time Series Missing Value Imputation in R. R J. 9(1): 207 (2017) - [c35]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: 200-207 - [c34]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: 63-64 - [c33]Martin Zaefferer, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein:
Simulation-based test functions for optimization algorithms. GECCO 2017: 905-912 - [i4]Thomas Bartz-Beielstein, Lorenzo Gentile, Martin Zaefferer:
In a Nutshell: Sequential Parameter Optimization. CoRR abs/1712.04076 (2017) - 2016
- [j6]Martin Zaefferer, Daniel Gaida, Thomas Bartz-Beielstein:
Multi-fidelity modeling and optimization of biogas plants. Appl. Soft Comput. 48: 13-28 (2016) - [c32]Martin Zaefferer, Thomas Bartz-Beielstein:
Efficient Global Optimization with Indefinite Kernels. PPSN 2016: 69-79 - [c31]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: 1012-1022 - 2015
- [p8]Thomas Bartz-Beielstein:
How to Create Generalizable Results. Handbook of Computational Intelligence 2015: 1127-1142 - [i3]Steffen Moritz, Alexis Sardá, Thomas Bartz-Beielstein, Martin Zaefferer, Jörg Stork:
Comparison of different Methods for Univariate Time Series Imputation in R. CoRR abs/1510.03924 (2015) - 2014
- [j5]Thomas Bartz-Beielstein, Jürgen Branke, Jörn Mehnen, Olaf Mersmann:
Evolutionary Algorithms. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 4(3): 178-195 (2014) - [c30]Martin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein:
Efficient global optimization for combinatorial problems. GECCO 2014: 871-878 - [c29]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: 1223-1230 - [c28]Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein:
Distance Measures for Permutations in Combinatorial Efficient Global Optimization. PPSN 2014: 373-383 - [p7]Thomas Bartz-Beielstein, Mike Preuss:
Experimental Analysis of Optimization Algorithms: Tuning and Beyond. Theory and Principled Methods for the Design of Metaheuristics 2014: 205-245 - [e3]Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic, Jim Smith:
Parallel Problem Solving from Nature - PPSN XIII - 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Lecture Notes in Computer Science 8672, Springer 2014, ISBN 978-3-319-10761-5 [contents] - 2013
- [c27]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: 756-770 - [c26]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: 172-181 - [c25]Thomas Bartz-Beielstein, Martin Zaefferer, Boris Naujoks:
How to create meaningful and generalizable results. GECCO (Companion) 2013: 979-1004 - 2012
- [j4]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): 161-163 (2012) - [j3]Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein, Claus Weihs, Wolfgang Konen:
Tuning and evolution of support vector kernels. Evol. Intell. 5(3): 153-170 (2012) - [c24]Thomas Bartz-Beielstein, Oliver Flasch, Martin Zaefferer:
Sequential parameter optimization for symbolic regression. GECCO (Companion) 2012: 495-496 - [c23]Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Martin Zaefferer:
SPOT applied to non-stochastic optimization problems: an experimental study. GECCO (Companion) 2012: 645-646 - [c22]Thomas Bartz-Beielstein, Mike Preuß, Martin Zaefferer:
Statistical analysis of optimization algorithms with R. GECCO (Companion) 2012: 1259-1286 - [c21]Martin Zaefferer, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Oliver Flasch:
Multi-criteria optimization for hard problems under limited budgets. GECCO (Companion) 2012: 1451-1452 - 2011
- [c20]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: 119-120 - [c19]Thomas Bartz-Beielstein, Mike Preuss:
Automatic and interactive tuning of algorithms. GECCO (Companion) 2011: 1361-1380 - [c18]Wolfgang Konen, Patrick Koch, Oliver Flasch, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks:
Tuned data mining: a benchmark study on different tuners. GECCO 2011: 1995-2002 - 2010
- [c17]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: 1-8 - [c16]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: 1-8 - [c15]Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein:
RGP: an open source genetic programming system for the R environment. GECCO (Companion) 2010: 2071-2072 - [c14]Thomas Bartz-Beielstein, Mike Preuss:
Tuning and experimental analysis in evolutionary computation: what we still have wrong. GECCO (Companion) 2010: 2625-2646 - [p6]Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss:
Introduction. Experimental Methods for the Analysis of Optimization Algorithms 2010: 1-13 - [p5]Thomas Bartz-Beielstein, Mike Preuss:
The Future of Experimental Research. Experimental Methods for the Analysis of Optimization Algorithms 2010: 17-49 - [p4]Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss:
The Sequential Parameter Optimization Toolbox. Experimental Methods for the Analysis of Optimization Algorithms 2010: 337-362 - [p3]Frank Hutter, Thomas Bartz-Beielstein, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy:
Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches. Experimental Methods for the Analysis of Optimization Algorithms 2010: 363-414 - [e2]Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss:
Experimental Methods for the Analysis of Optimization Algorithms. Springer 2010, ISBN 978-3-642-02537-2 [contents] - [i2]Thomas Bartz-Beielstein:
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization. CoRR abs/1006.4645 (2010)
2000 – 2009
- 2009
- [j2]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). Automatisierungstechnik 57(3): 155-166 (2009) - [c13]Wolfgang Konen, Thomas Bartz-Beielstein:
Reinforcement learning for games: failures and successes. GECCO (Companion) 2009: 2641-2648 - [c12]Thomas Bartz-Beielstein, Mike Preuss:
the future of experimental research. GECCO (Companion) 2009: 3185-3226 - [i1]Thomas Bartz-Beielstein:
Sequential Parameter Optimization. Sampling-based Optimization in the Presence of Uncertainty 2009 - 2008
- [j1]Thomas Bartz-Beielstein:
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing. Synthese 163(3): 385-396 (2008) - [c11]Thomas Bartz-Beielstein, Mike Preuss:
Experimental research in evolutionary computation. GECCO (Companion) 2008: 2517-2534 - [c10]Wolfgang Konen, Thomas Bartz-Beielstein:
Reinforcement Learning: Insights from Interesting Failures in Parameter Selection. PPSN 2008: 478-487 - 2007
- [c9]Thomas Bartz-Beielstein, Mike Preuss:
Experimental research in evolutionary computation. GECCO (Companion) 2007: 3001-3020 - [p2]Thomas Bartz-Beielstein, Daniel Blum, Jürgen Branke:
Particle Swarm Optimization and Sequential Sampling in Noisy Environments. Metaheuristics 2007: 261-273 - [p1]Mike Preuss, Thomas Bartz-Beielstein:
Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms. Parameter Setting in Evolutionary Algorithms 2007: 91-119 - [e1]Thomas Bartz-Beielstein, María J. Blesa Aguilera, Christian Blum, Boris Naujoks, Andrea Roli, Günter Rudolph, Michael Sampels:
Hybrid Metaheuristics, 4th International Workshop, HM 2007, Dortmund, Germany, October 8-9, 2007, Proceedings. Lecture Notes in Computer Science 4771, Springer 2007, ISBN 978-3-540-75513-5 [contents] - 2006
- [b2]Thomas Bartz-Beielstein:
Experimental Research in Evolutionary Computation - The New Experimentalism. Natural Computing Series, Springer 2006, ISBN 978-3-540-32026-5, pp. I-XIV, 1-214 - [c8]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: 41-47 - [c7]Bastian Baranski, Thomas Bartz-Beielstein, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens M. Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann:
The Impact of Group Reputation in Multiagent Environments. IEEE Congress on Evolutionary Computation 2006: 1224-1231 - [c6]Bastian Baranski, Thomas Bartz-Beielstein, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens M. Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann:
High-order punishment and the evolution of cooperation. GECCO 2006: 379-380 - [c5]Thomas Bartz-Beielstein, Mike Preuss, Günter Rudolph:
Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations. Hybrid Metaheuristics 2006: 178-191 - 2005
- [b1]Thomas Bartz-Beielstein:
New experimentalism applied to evolutionary computation. Dortmund University of Technology, 2005, pp. 1-187 - [c4]Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss:
Sequential parameter optimization. Congress on Evolutionary Computation 2005: 773-780 - [c3]Thomas Bartz-Beielstein:
Evolution Strategies and Threshold Selection. Hybrid Metaheuristics 2005: 104-115 - 2004
- [c2]Thomas Bartz-Beielstein, Sandor Markon:
Tuning search algorithms for real-world applications: a regression tree based approach. IEEE Congress on Evolutionary Computation 2004: 1111-1118 - 2003
- [c1]Thomas Beielstein, Claus-Peter Ewald, Sandor Markon:
Optimal Elevator Group Control by Evolution Strategies. GECCO 2003: 1963-1974
Coauthor Index
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