10 citations · 21 across the 5 of their papers we have counts for
5 papers
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür +9
Crises like the COVID-19 pandemic pose a serious challenge to health-care institutions. They need to plan the resources required for handling the increased load, for instance, hosp…
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic
Thomas Bartz-Beielstein, Frederik Rehbach, Olaf Mersmann +1
We present a resource-planning tool for hospitals under special consideration of the COVID-19 pandemic, called babsim.hospital. It provides many advantages for crisis teams, e.g.,…
Optimization of High-dimensional Simulation Models Using Synthetic Data
Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach +1
Simulation models are valuable tools for resource usage estimation and capacity planning. In many situations, reliable data is not available. We introduce the BuB simulator, which…
Continuous Optimization Benchmarks by Simulation
Martin Zaefferer, Frederik Rehbach
Benchmark experiments are required to test, compare, tune, and understand optimization algorithms. Ideally, benchmark problems closely reflect real-world problem behavior. Yet, rea…
Expected Improvement versus Predicted Value in Surrogate-Based Optimization
Frederik Rehbach, Martin Zaefferer, Boris Naujoks +1
Surrogate-based optimization relies on so-called infill criteria (acquisition functions) to decide which point to evaluate next. When Kriging is used as the surrogate model of choi…