activity
20122023
most citedCOCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

406 citations · 436 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NE2023

Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite

Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann +2

Box-constraints limit the domain of decision variables and are common in real-world optimization problems, for example, due to physical, natural or spatial limitations. Consequentl…

cs.LG2021★ 2 cited

Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization

Eva Bartz, Martin Zaefferer, Olaf Mersmann +1

Machine learning algorithms such as random forests or xgboost are gaining more importance and are increasingly incorporated into production processes in order to enable comprehensi…

cs.AI2021

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…

stat.AP2020★ 10 cited

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.,…

stat.AP2020★ 4 cited

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…

cs.AI2016★ 406 cited

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

Nikolaus Hansen, Anne Auger, Raymond Ros +3

We introduce COCO, an open source platform for Comparing Continuous Optimizers in a black-box setting. COCO aims at automatizing the tedious and repetitive task of benchmarking num…