Olaf Mersmann

According to our database, Olaf Mersmann authored at least 33 papers between 2010 and 2023.

Collaborative distances:

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

2023

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

Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 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

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

Global Study: Influence of Tuning.

Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein

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

Tuning: Methodology.

Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann

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

Ranking and Result Aggregation.

Thomas Bartz-Beielstein, Olaf Mersmann, Sowmya Chandrasekaran

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

2022

Increasing the Diversity of Benchmark Function Sets Through Affine Recombination.

Konstantin Dietrich, Olaf Mersmann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

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

Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization.

Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein

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, 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

2016

COCO: The Experimental Procedure.

Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff

CoRR, 2016

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

Nikolaus Hansen, Anne Auger, Olaf Mersmann, Tea Tusar, Dimo Brockhoff

CoRR, 2016

2015

Analyzing the BBOB Results by Means of Benchmarking Concepts.

Olaf Mersmann, Mike Preuss, Heike Trautmann, Bernd Bischl, Claus Weihs

Evol. Comput., 2015

2014

Evolutionary Algorithms.

Thomas Bartz-Beielstein, Jürgen Branke, Jörn Mehnen, Olaf Mersmann

WIREs Data Mining Knowl. Discov., 2014

2013

A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem.

Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Jakob Bossek, Frank Neumann

Ann. Math. Artif. Intell., 2013

A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem.

Samadhi Nallaperuma, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, Heike Trautmann

Proceedings of the Foundations of Genetic Algorithms XII, 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

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Do Hypervolume Regressions Hinder EMOA Performance? Surprise and Relief.

Leonard Judt, Olaf Mersmann, Boris Naujoks

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012

Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation.

Bernd Bischl, Olaf Mersmann, Heike Trautmann, Claus Weihs

Evol. Comput., 2012

A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem

Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Frank Neumann

CoRR, 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, Frank Neumann

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Effect of SMS-EMOA Parameterizations on Hypervolume Decreases.

Leonard Judt, Olaf Mersmann, Boris Naujoks

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Algorithm selection based on exploratory landscape analysis and cost-sensitive learning.

Bernd Bischl, Olaf Mersmann, Heike Trautmann, Mike Preuß

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Exploratory landscape analysis.

Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities.

Sanaz Mostaghim, Heike Trautmann, Olaf Mersmann

Proceedings of the Parallel Problem Solving from Nature, 2010

Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.

Olaf Mersmann, Mike Preuss, Heike Trautmann

Proceedings of the Parallel Problem Solving from Nature, 2010

On the Distribution of EMOA Hypervolumes.

Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs

Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 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

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

RGP: an open source genetic programming system for the R environment.

Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking evolutionary multiobjective optimization algorithms.

Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs

Proceedings of the IEEE Congress on Evolutionary Computation, 2010