Frederik Rehbach
Frederik Rehbach
Cologne University of Applied Sciences
Verified email at th-koeln.de
Title
Cited by
Cited by
Year
Comparison of parallel surrogate-assisted optimization approaches
F Rehbach, M Zaefferer, J Stork, T Bartz-Beielstein
Proceedings of the Genetic and Evolutionary Computation Conference, 1348-1355, 2018
112018
Expected improvement versus predicted value in surrogate-based optimization
F Rehbach, M Zaefferer, B Naujoks, T Bartz-Beielstein
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 868-876, 2020
72020
GECCO 2018 Industrial Challenge: Monitoring of drinking-water quality
F Rehbach, S Moritz, S Chandrasekaran, M Rebolledo, M Friese, ...
Accessed: Feb 19, 2019, 2018
62018
In a nutshell: Sequential parameter optimization
T Bartz-Beielstein, L Gentile, M Zaefferer
arXiv preprint arXiv:1712.04076, 2017
62017
Surrogate-Assisted Learning of Neural Networks
J Stork, M Zaefferer, A Fischbach, F Rehbach, T Bartz-Beielstein
42017
A novel dynamic multi-criteria ensemble selection mechanism applied to drinking water quality anomaly detection
VHA Ribeiro, S Moritz, F Rehbach, G Reynoso-Meza
Science of The Total Environment 749, 142368, 2020
32020
Continuous optimization benchmarks by simulation
M Zaefferer, F Rehbach
International Conference on Parallel Problem Solving from Nature, 273-286, 2020
22020
Parallelized bayesian optimization for problems with expensive evaluation functions
M Rebolledo, F Rehbach, AE Eiben, T Bartz-Beielstein
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
22020
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic
T Bartz-Beielstein, F Rehbach, O Mersmann, E Bartz
arXiv preprint arXiv:2012.07188, 2020
12020
Package ‘SPOT’
T Bartz-Beielstein, J Stork, M Zaefferer, M Rebolledo, C Lasarczyk, ...
12020
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
T Bartz-Beielstein, M Dröscher, A Gür, A Hinterleitner, O Mersmann, ...
arXiv preprint arXiv:2105.07420, 2021
2021
In a Nutshell--The Sequential Parameter Optimization Toolbox
T Bartz-Beielstein, M Zaefferer, F Rehbach
2021
Tuning Algorithms for Stochastic Black-Box Optimization: State of the Art and Future Perspectives
T Bartz-Beielstein, F Rehbach, M Rebolledo
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems, 67-108, 2021
2021
Optimization of High-dimensional Simulation Models Using Synthetic Data
T Bartz-Beielstein, E Bartz, F Rehbach, O Mersmann
arXiv preprint arXiv:2009.02781, 2020
2020
Parallelized Bayesian Optimization for Expensive Robot Controller Evolution
M Rebolledo, F Rehbach, AE Eiben, T Bartz-Beielstein
International Conference on Parallel Problem Solving from Nature, 243-256, 2020
2020
Variable reduction for surrogate-based optimization
F Rehbach, L Gentile, T Bartz-Beielstein
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
2020
Feature selection for surrogate model-based optimization
F Rehbach, L Gentile, T Bartz-Beielstein
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
2019
Bridging Theory and Practice Through Modular Graphical User Interfaces.
F Rehbach, J Stork, T Bartz-Beielstein
J. Multim. Process. Technol. 9 (4), 134-140, 2018
2018
New Paper: Entropy-based Adaptive Range Parameter Selection for Evolutionary Algorithms
T Bartz-Beielstein, B Naujoks, B Breiderhoff, MAR Coy, ...
Sequential Parameter# Optimization Toolbox 2.0. 2 is on CRAN# RSTATS
T Bartz-Beielstein, B Naujoks, B Breiderhoff, MAR Coy, ...
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