Frederik Rehbach

According to our database, Frederik Rehbach authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Enhancing Surrogate-Based Optimization Through Parallelization

Frederik Rehbach

Studies in Computational Intelligence 1099, Springer, ISBN: 978-3-031-30608-2, 2023

Case Study I: Tuning Random Forest (Ranger).

Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach, Martin Zaefferer

Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Case Study III: Tuning of Deep Neural Networks.

Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach

Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

Case Study II: Tuning of Gradient Boosting (xgboost).

Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach

Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

2022

Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm.

Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz-Beielstein

IEEE Trans. Evol. Comput., 2022

2021

Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis.

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

CoRR, 2021

Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis.

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic.

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic.

Thomas Bartz-Beielstein, Frederik Rehbach, Olaf Mersmann, Eva Bartz

CoRR, 2020

Optimization of High-dimensional Simulation Models Using Synthetic Data.

Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach, Olaf Mersmann

CoRR, 2020

Continuous Optimization Benchmarks by Simulation.

Martin Zaefferer, Frederik Rehbach

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Parallelized Bayesian Optimization for Expensive Robot Controller Evolution.

Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Expected improvement versus predicted value in surrogate-based optimization.

Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Variable reduction for surrogate-based optimization.

Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Parallelized bayesian optimization for problems with expensive evaluation functions.

Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Feature selection for surrogate model-based optimization.

Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Bridging Theory and Practice Through Modular Graphical User Interfaces.

Frederik Rehbach, Jörg Stork, Thomas Bartz-Beielstein

J. Multim. Process. Technol., 2018

Comparison of parallel surrogate-assisted optimization approaches.

Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein

Proceedings of the Genetic and Evolutionary Computation Conference, 2018