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Frederik Rehbach
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2020 – today
- 2023
- [b1]Frederik Rehbach:
Enhancing Surrogate-Based Optimization Through Parallelization. Studies in Computational Intelligence 1099, Springer 2023, ISBN 978-3-031-30608-2, pp. 1-114 - [p3]Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach, Martin Zaefferer:
Case Study I: Tuning Random Forest (Ranger). Hyperparameter Tuning for Machine and Deep Learning with R 2023: 187-220 - [p2]Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach:
Case Study II: Tuning of Gradient Boosting (xgboost). Hyperparameter Tuning for Machine and Deep Learning with R 2023: 221-234 - [p1]Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach:
Case Study III: Tuning of Deep Neural Networks. Hyperparameter Tuning for Machine and Deep Learning with R 2023: 235-269 - 2022
- [j2]Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz-Beielstein:
Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm. IEEE Trans. Evol. Comput. 26(6): 1365-1379 (2022) - 2021
- [c9]Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Tom Lawton, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer:
Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. CEC 2021: 728-735 - [c8]Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, A. Sen, Aleksandr Subbotin, Martin Zaefferer:
Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis. GECCO Companion 2021: 293-294 - [i5]Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer:
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis. CoRR abs/2105.07420 (2021) - 2020
- [c7]Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein:
Parallelized bayesian optimization for problems with expensive evaluation functions. GECCO Companion 2020: 231-232 - [c6]Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein:
Expected improvement versus predicted value in surrogate-based optimization. GECCO 2020: 868-876 - [c5]Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein:
Variable reduction for surrogate-based optimization. GECCO 2020: 1177-1185 - [c4]Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein:
Parallelized Bayesian Optimization for Expensive Robot Controller Evolution. PPSN (1) 2020: 243-256 - [c3]Martin Zaefferer, Frederik Rehbach:
Continuous Optimization Benchmarks by Simulation. PPSN (1) 2020: 273-286 - [i4]Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein:
Expected Improvement versus Predicted Value in Surrogate-Based Optimization. CoRR abs/2001.02957 (2020) - [i3]Martin Zaefferer, Frederik Rehbach:
Continuous Optimization Benchmarks by Simulation. CoRR abs/2008.06249 (2020) - [i2]Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach, Olaf Mersmann:
Optimization of High-dimensional Simulation Models Using Synthetic Data. CoRR abs/2009.02781 (2020) - [i1]Thomas Bartz-Beielstein, Frederik Rehbach, Olaf Mersmann, Eva Bartz:
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic. CoRR abs/2012.07188 (2020)
2010 – 2019
- 2019
- [c2]Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein:
Feature selection for surrogate model-based optimization. GECCO (Companion) 2019: 399-400 - 2018
- [j1]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) - [c1]Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein:
Comparison of parallel surrogate-assisted optimization approaches. GECCO 2018: 1348-1355
Coauthor Index
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