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Thomas Bartz-Beielstein

Thomas Beielstein

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affiliation: Technical University of Dortmund, Germany

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2018
[c38]
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  - conf/gecco/GentileZGCB18
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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]
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Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein:
Comparison of parallel surrogate-assisted optimization approaches. GECCO 2018: 1348-1355
[c36]
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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]
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  - journals/corr/abs-1807-01019
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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]
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Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph:
An Empirical Approach For Probing the Definiteness of Kernels. CoRR abs/1807.03555 (2018)
[i6]
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  - journals/corr/abs-1807-07839
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Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein:
Distance-based Kernels for Surrogate Model-based Neuroevolution. CoRR abs/1807.07839 (2018)
[i5]
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  - journals/corr/abs-1808-08818
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Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein:
A new Taxonomy of Continuous Global Optimization Algorithms. CoRR abs/1808.08818 (2018)
2017
[j8]
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Thomas Bartz-Beielstein, Martin Zaefferer:
Model-based methods for continuous and discrete global optimization. Appl. Soft Comput. 55: 154-167 (2017)
[j7]
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Alexis Sardá, Subanatarajan Subbiah, Thomas Bartz-Beielstein:
Conditional inference trees for knowledge extraction from motor health condition data. Eng. Appl. of AI 62: 26-37 (2017)
[c35]
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  - conf/ecal/HeinermanSCHBEH17
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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]
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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]
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Martin Zaefferer, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein:
Simulation-based test functions for optimization algorithms. GECCO 2017: 905-912
[i4]
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  - journals/corr/abs-1712-04076
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Thomas Bartz-Beielstein, Lorenzo Gentile, Martin Zaefferer:
In a Nutshell: Sequential Parameter Optimization. CoRR abs/1712.04076 (2017)
2016
[j6]
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Martin Zaefferer, Daniel Gaida, Thomas Bartz-Beielstein:
Multi-fidelity modeling and optimization of biogas plants. Appl. Soft Comput. 48: 13-28 (2016)
[c32]
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Martin Zaefferer, Thomas Bartz-Beielstein:
Efficient Global Optimization with Indefinite Kernels. PPSN 2016: 69-79
[c31]
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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 Simone Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, Darrell Whitley, Martin Zaefferer:
Tutorials at PPSN 2016. PPSN 2016: 1012-1022
2015
[p3]
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Thomas Bartz-Beielstein:
How to Create Generalizable Results. Handbook of Computational Intelligence 2015: 1127-1142
[i3]
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  - journals/corr/MoritzSBZS15
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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]
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Thomas Bartz-Beielstein, Jürgen Branke, Jörn Mehnen, Olaf Mersmann:
Evolutionary Algorithms. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 4(3): 178-195 (2014)
[c30]
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Martin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein:
Efficient global optimization for combinatorial problems. GECCO 2014: 871-878
[c29]
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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]
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Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein:
Distance Measures for Permutations in Combinatorial Efficient Global Optimization. PPSN 2014: 373-383
[p2]
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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
[e2]
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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]
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  - conf/emo/ZaeffererBNWE13
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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]
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  - conf/evoW/FlaschFVBMNSZ13
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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]
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Thomas Bartz-Beielstein, Martin Zaefferer, Boris Naujoks:
How to create meaningful and generalizable results. GECCO (Companion) 2013: 979-1004
2012
[j4]
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Gabriela Ochoa, Mike Preuss, Thomas Bartz-Beielstein, Marc Schoenauer:
Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods. Evolutionary Computation 20(2): 161-163 (2012)
[j3]
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Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein, Claus Weihs, Wolfgang Konen:
Tuning and evolution of support vector kernels. Evolutionary Intelligence 5(3): 153-170 (2012)
[c24]
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Thomas Bartz-Beielstein, Oliver Flasch, Martin Zaefferer:
Sequential parameter optimization for symbolic regression. GECCO (Companion) 2012: 495-496
[c23]
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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]
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Thomas Bartz-Beielstein, Mike Preuß, Martin Zaefferer:
Statistical analysis of optimization algorithms with R. GECCO (Companion) 2012: 1259-1286
[c21]
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  - conf/gecco/ZaeffererBFNF12
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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]
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  - conf/gecco/Bartz-BeielsteinFZNFKK11
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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]
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Thomas Bartz-Beielstein, Mike Preuss:
Automatic and interactive tuning of algorithms. GECCO (Companion) 2011: 1361-1380
[c18]
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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]
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  - conf/cec/FlaschBDKKOT10
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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]
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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]
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Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein:
RGP: an open source genetic programming system for the R environment. GECCO (Companion) 2010: 2071-2072
[c14]
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Thomas Bartz-Beielstein, Mike Preuss:
Tuning and experimental analysis in evolutionary computation: what we still have wrong. GECCO (Companion) 2010: 2625-2646
[i2]
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  - journals/corr/abs-1006-4645
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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

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2009
[j2]
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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]
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Wolfgang Konen, Thomas Bartz-Beielstein:
Reinforcement learning for games: failures and successes. GECCO (Companion) 2009: 2641-2648
[c12]
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Thomas Bartz-Beielstein, Mike Preuss:
the future of experimental research. GECCO (Companion) 2009: 3185-3226
[i1]
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Thomas Bartz-Beielstein:
Sequential Parameter Optimization. Sampling-based Optimization in the Presence of Uncertainty 2009
2008
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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]
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Thomas Bartz-Beielstein, Mike Preuss:
Experimental research in evolutionary computation. GECCO (Companion) 2008: 2517-2534
[c10]
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Wolfgang Konen, Thomas Bartz-Beielstein:
Reinforcement Learning: Insights from Interesting Failures in Parameter Selection. PPSN 2008: 478-487
2007
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Thomas Bartz-Beielstein, Mike Preuss:
Experimental research in evolutionary computation. GECCO (Companion) 2007: 3001-3020
[p1]
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  - series/sci/PreussB07
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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
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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
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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]
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  - conf/cec/BaranskiBEKKMPRSSSSSWZ06
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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
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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
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Thomas Bartz-Beielstein, Mike Preuss, Günter Rudolph:
Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations. Hybrid Metaheuristics 2006: 178-191
2005
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Thomas Bartz-Beielstein:
New experimentalism applied to evolutionary computation. Dortmund University of Technology 2005, pp. 1-187
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Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss:
Sequential parameter optimization. Congress on Evolutionary Computation 2005: 773-780
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Thomas Bartz-Beielstein:
Evolution Strategies and Threshold Selection. Hybrid Metaheuristics 2005: 104-115
2004
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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
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Thomas Beielstein, Claus-Peter Ewald, Sandor Markon:
Optimal Elevator Group Control by Evolution Strategies. GECCO 2003: 1963-1974

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