Frederik Rehbach
TH Köln - University of Applied Sciences(DE)TU Dortmund University(DE)
Publications by Year
Research Areas
Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Simulation Techniques and Applications, Machine Learning and Data Classification, Water Quality Monitoring Technologies
Most-Cited Works
- → Comparison of parallel surrogate-assisted optimization approaches(2018)30 cited
- → A novel dynamic multi-criteria ensemble selection mechanism applied to drinking water quality anomaly detection(2020)18 cited
- → In a Nutshell -- The Sequential Parameter Optimization Toolbox(2017)11 cited
- → Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic(2020)10 cited
- → Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic(2021)9 cited
- → Resource planning for hospitals under special consideration of the COVID-19 pandemic(2021)7 cited
- → Case Study II: Tuning of Gradient Boosting (xgboost)(2023)7 cited
- → Parallelized Bayesian Optimization for Expensive Robot Controller Evolution(2020)7 cited
- → GECCO Industrial Challenge 2018 Dataset: A water quality dataset for the 'Internet of Things: Online Anomaly Detection for Drinking Water Quality' competition at the Genetic and Evolutionary Computation Conference 2018, Kyoto, Japan.(2018)6 cited
- → Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm(2022)6 cited