Benchmarking evolutionary multiobjective optimization algorithms. - Olaf Mersmann; Heike Trautmann; Boris Naujoks; Claus Weihs (IEEE Congress on Evolutionary Computation, 2010)

RGP: an open source genetic programming system for the R environment. - Oliver Flasch; Olaf Mersmann; Thomas Bartz-Beielstein (GECCO (Companion), 2010)

A Case Study on the Use of Statistical Classification Methods in Particle Physics. - Claus Weihs; Olaf Mersmann; Bernd Bischl; Arno Fritsch; Heike Trautmann; Till Moritz Karbach; Bernhard Spaan (GfKl, 2010)

On the Distribution of EMOA Hypervolumes. - Olaf Mersmann; Heike Trautmann; Boris Naujoks; Claus Weihs (LION, 2010)

Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. - Olaf Mersmann; Mike Preuss; Heike Trautmann (PPSN (1), 2010)

Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. - Sanaz Mostaghim; Heike Trautmann; Olaf Mersmann (PPSN (2), 2010)

Exploratory landscape analysis. - Olaf Mersmann; Bernd Bischl; Heike Trautmann; Mike Preuss; Claus Weihs; Günter Rudolph (GECCO, 2011)

Algorithm selection based on exploratory landscape analysis and cost-sensitive learning. - Bernd Bischl; Olaf Mersmann; Heike Trautmann; Mike Preuß (GECCO, 2012)

Effect of SMS-EMOA Parameterizations on Hypervolume Decreases. - Leonard Judt; Olaf Mersmann; Boris Naujoks (LION, 2012)

Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness. - Olaf Mersmann; Bernd Bischl; Jakob Bossek; Heike Trautmann; Markus Wagner 007; Frank Neumann 001 (LION, 2012)

A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem - Olaf Mersmann; Bernd Bischl; Heike Trautmann; Markus Wagner 007; Frank Neumann 001 (CoRR, 2012)

Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation. - Bernd Bischl; Olaf Mersmann; Heike Trautmann; Claus Weihs (Evol. Comput., 2012)

Do Hypervolume Regressions Hinder EMOA Performance? Surprise and Relief. - Leonard Judt; Olaf Mersmann; Boris Naujoks (EMO, 2013)

Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. - Oliver Flasch; Martina Friese; Katya Vladislavleva; Thomas Bartz-Beielstein; Olaf Mersmann; Boris Naujoks; Jörg Stork; Martin Zaefferer (EvoApplications, 2013)

A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem. - Samadhi Nallaperuma; Markus Wagner 007; Frank Neumann 001; Bernd Bischl; Olaf Mersmann; Heike Trautmann (FOGA, 2013)

A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem. - Olaf Mersmann; Bernd Bischl; Heike Trautmann; Markus Wagner 007; Jakob Bossek; Frank Neumann 001 (Ann. Math. Artif. Intell., 2013)

Evolutionary Algorithms. - Thomas Bartz-Beielstein; Jürgen Branke; Jörn Mehnen; Olaf Mersmann (WIREs Data Mining Knowl. Discov., 2014)

Analyzing the BBOB Results by Means of Benchmarking Concepts. - Olaf Mersmann; Mike Preuss; Heike Trautmann; Bernd Bischl; Claus Weihs (Evol. Comput., 2015)

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. - Nikolaus Hansen; Anne Auger; Olaf Mersmann; Tea Tusar; Dimo Brockhoff (CoRR, 2016)

COCO: The Experimental Procedure. - Nikolaus Hansen; Tea Tusar; Olaf Mersmann; Anne Auger; Dimo Brockhoff (CoRR, 2016)

Optimization of High-dimensional Simulation Models Using Synthetic Data. - Thomas Bartz-Beielstein; Eva Bartz; Frederik Rehbach; Olaf Mersmann (CoRR, 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 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; et al. (CEC, 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 (GECCO Companion, 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)

Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization. - Eva Bartz; Martin Zaefferer; Olaf Mersmann; Thomas Bartz-Beielstein (CoRR, 2021)

COCO: a platform for comparing continuous optimizers in a black-box setting. - Nikolaus Hansen; Anne Auger; Raymond Ros; Olaf Mersmann; Tea Tusar; Dimo Brockhoff (Optim. Methods Softw., 2021)

Increasing the Diversity of Benchmark Function Sets Through Affine Recombination. - Konstantin Dietrich; Olaf Mersmann (PPSN (1), 2022)

Ranking and Result Aggregation. - Thomas Bartz-Beielstein; Olaf Mersmann; Sowmya Chandrasekaran (Hyperparameter Tuning for Machine and Deep Learning with R, 2023)

Tuning: Methodology. - Thomas Bartz-Beielstein; Martin Zaefferer; Olaf Mersmann (Hyperparameter Tuning for Machine and Deep Learning with R, 2023)

Global Study: Influence of Tuning. - Martin Zaefferer; Olaf Mersmann; Thomas Bartz-Beielstein (Hyperparameter Tuning for Machine and Deep Learning with R, 2023)

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. - Raphael Patrick Prager; Konstantin Dietrich; Lennart Schneider; Lennart Schäpermeier; Bernd Bischl; Pascal Kerschke; Heike Trautmann; Olaf Mersmann (FOGA, 2023)

Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. - Diederick Vermetten; Manuel López-Ibáñez 001; Olaf Mersmann; Richard Allmendinger 001; Anna V. Kononova (GECCO Companion, 2023)

Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes. - Thomas Bartz-Beielstein; Axel Wellendorf; Noah Pütz; Jens Brandt; Alexander Hinterleitner; Richard Schulz; Richard Scholz; Olaf Mersmann; Robin Knabe (CoRR, 2024)