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Thomas Bartz–Beielstein

Observed names: Bartz-Beielstein, Thomas, Bartz-Beielstein, Thomas (Dr.), Beielstein, Thomas, T. Bartz-Beielstein, T. Bartz–Beielstein, T. Beielstein, Th Bartz-Beielstein, Thomas Bartz-Beielstein, Thomas Bartz-beielstein, Thomas Bartz‐Beielstein, Thomas Beielstein
Observed institutions: TH Köln - University of Applied Sciences, Statistisches Bundesamt, University of Cologne, TU Dortmund University, Kreiskrankenhaus Gummersbach, Innovation Cluster (Canada)
ORCID: 0000-0002-5938-5158
Observed ORCID: 0000-0002-5938-5158
OpenAlex ID: A5020539256
imputeTS: Time Series Missing Value Imputation in R
2017 · Steffen Moritz, Thomas Bartz-Beielstein · The R Journal · 939
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Experimental Methods for the Analysis of Optimization Algorithms
2010 · Bartz-Beielstein, Thomas, Preuss, Mike, et al. · Springer eBooks · 334
Sequential Parameter Optimization
2005 · T. Bartz-Beielstein, C.W.G. Lasarczyk, et al. · IEEE Congress on Evolutionary Computation (CEC) · 309
Experimental Research in Evolutionary Computation: The New Experimentalism
2010 · Thomas Bartz–Beielstein · DIAL (Catholic University of Leuven) · 199
Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series)
2010 · Thomas Bartz–Beielstein · 180
Evolutionary Algorithms
2014 · Thomas Bartz‐Beielstein, Jürgen Branke, et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 178
Model-based methods for continuous and discrete global optimization
2017 · Thomas Bartz-Beielstein, Martin Zaefferer · Applied Soft Computing · 177
Comparison of different Methods for Univariate Time Series Imputation in R
2015 · Moritz, Steffen, Sardá, Alexis, et al. · arXiv (Cornell University) · 143
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A new taxonomy of global optimization algorithms
2020 · Jörg Stork, A. E. Eiben, et al. · Natural Computing · 129
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Tuning PSO Parameters Through Sensitivity Analysis
2002 · Beielstein, Thomas, Parsopoulos, Konstantinos E., et al. · 90
Tuning search algorithms for real-world applications: a regression tree based approach
2004 · T. Bartz-Beielstein, S. Markon · IEEE Congress on Evolutionary Computation (CEC) · 89
Hyperparameter Tuning for Machine and Deep Learning with R
2022 · Eva Bartz, Thomas Bartz-Beielstein, et al. · Springer eBooks · 81
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Benchmarking in Optimization: Best Practice and Open Issues
2020 · Bartz-Beielstein, Thomas, Doerr, Carola, et al. · arXiv (Cornell University) · 80
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Thresholding-a selection operator for noisy ES
2002 · S. Markon, D.V. Arnold, et al. · IEEE Congress on Evolutionary Computation (CEC) · 78
The Sequential Parameter Optimization Toolbox
2010 · Thomas Bartz-Beielstein, Christian Lasarczyk, et al. · Springer eBooks · 75
Particle swarm optimizers for Pareto optimization with enhanced archiving techniques
2004 · T. Bartz-Beielstein, P. Limbourg, et al. · IEEE Congress on Evolutionary Computation (CEC) · 72
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Design and Analysis of Optimization Algorithms Using Computational Statistics
2004 · T. Bartz–Beielstein, K. E. Parsopoulos, et al. · Applied Numerical Analysis & Computational Mathematics · 70
Efficient global optimization for combinatorial problems
2014 · Martin Zaefferer, Jörg Stork, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 68
Part E: Evolutionary Computation
2015 · Frank Neumann, Carsten Witt, et al. · 64
Parallel Problem Solving from Nature – PPSN XIII
2014 · Bartz-Beielstein, Thomas, Smith, Jim, et al. · Lecture notes in computer science · 58
Tuning and evolution of support vector kernels
2012 · Patrick Koch, Bernd Bischl, et al. · Evolutionary Intelligence · 58
Particle Swarm Optimization and Sequential Sampling in Noisy Environments
2007 · Thomas Bartz-Beielstein, Daniel Blum, et al. · Springer eBooks · 53
Experimental research in evolutionary computation
2007 · Thomas Bartz-Beielstein, Mike Preuss · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 53
Conditional inference trees for knowledge extraction from motor health condition data
2017 · Alexis Sardá-Espinosa, Subanatarajan Subbiah, et al. · Engineering Applications of Artificial Intelligence · 49
Threshold selection, hypothesis tests, and DOE methods
2003 · T. Beielstein, S. Markon · IEEE Congress on Evolutionary Computation (CEC) · 47
Works count: 276
Citation count: 5,023
H-index: 33
I10-index: 67
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