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Thomas Bartz-Beielstein
Thomas Beielstein
2010 – today
- 2013
[c23]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- [c22]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
- 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. Evolutionary Computation 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. Evolutionary Intelligence 5(3): 153-170 (2012)
- [c21]Thomas Bartz-Beielstein, Oliver Flasch, Martin Zaefferer: Sequential parameter optimization for symbolic regression. GECCO (Companion) 2012: 495-496
- [c20]Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Martin Zaefferer: SPOT applied to non-stochastic optimization problems: an experimental study. GECCO (Companion) 2012: 645-646
- [c19]Thomas Bartz-Beielstein, Mike Preuß, Martin Zaefferer: Statistical analysis of optimization algorithms with R. GECCO (Companion) 2012: 1259-1286
- [c18]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
- [c17]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
- [c16]Thomas Bartz-Beielstein, Mike Preuss: Automatic and interactive tuning of algorithms. GECCO (Companion) 2011: 1361-1380
- [c15]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
- [c14]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
- [c13]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
- [c12]Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein: RGP: an open source genetic programming system for the R environment. GECCO (Companion) 2010: 2071-2072
- [c11]Thomas Bartz-Beielstein, Mike Preuss: Tuning and experimental analysis in evolutionary computation: what we still have wrong. GECCO (Companion) 2010: 2625-2646
- [i1]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)
- [c10]Wolfgang Konen, Thomas Bartz-Beielstein: Reinforcement learning for games: failures and successes. GECCO (Companion) 2009: 2641-2648
- [c9]Thomas Bartz-Beielstein, Mike Preuss: the future of experimental research. GECCO (Companion) 2009: 3185-3226
- 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)
- [c8]Thomas Bartz-Beielstein, Mike Preuss: Experimental research in evolutionary computation. GECCO (Companion) 2008: 2517-2534
- [c7]Wolfgang Konen, Thomas Bartz-Beielstein: Reinforcement Learning: Insights from Interesting Failures in Parameter Selection. PPSN 2008: 478-487
- 2007
- [c6]Thomas Bartz-Beielstein, Mike Preuss: Experimental research in evolutionary computation. GECCO (Companion) 2007: 3001-3020
- [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 (Eds.): 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
- 2006
- [c5]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
- [c4]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 evoluationary computation. Dortmund University of Technology 2005, pp. 1-187
- [c3]Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss: Sequential parameter optimization. Congress on Evolutionary Computation 2005: 773-780
- [c2]Thomas Bartz-Beielstein: Evolution Strategies and Threshold Selection. Hybrid Metaheuristics 2005: 104-115
- 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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last updated on 2013-03-14 21:31 CET by the dblp team