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Olaf Mersmann
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- affiliation: TH Köln, Gummersbach, Germany
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2020 – today
- 2023
- [c18]Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann:
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA 2023: 129-139 - [c17]Diederick Vermetten
, Manuel López-Ibáñez
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. GECCO Companion 2023: 2346-2353 - [p3]Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann:
Tuning: Methodology. Hyperparameter Tuning for Machine and Deep Learning with R 2023: 7-26 - [p2]Thomas Bartz-Beielstein, Olaf Mersmann, Sowmya Chandrasekaran:
Ranking and Result Aggregation. Hyperparameter Tuning for Machine and Deep Learning with R 2023: 121-161 - [p1]Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein:
Global Study: Influence of Tuning. Hyperparameter Tuning for Machine and Deep Learning with R 2023: 283-301 - [e1]Eva Bartz, Thomas Bartz-Beielstein
Hyperparameter Tuning for Machine and Deep Learning with R - A Practical Guide. Springer 2023, ISBN 978-981-19-5169-5 [contents] - [i8]Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova:
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. CoRR abs/2305.15102 (2023) - 2022
- [c16]Konstantin Dietrich
Increasing the Diversity of Benchmark Function Sets Through Affine Recombination. PPSN (1) 2022: 590-602 - 2021
- [j5]Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann
COCO: a platform for comparing continuous optimizers in a black-box setting. Optim. Methods Softw. 36(1): 114-144 (2021) - [c15]Thomas Bartz-Beielstein
Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. CEC 2021: 728-735 - [c14]Thomas Bartz-Beielstein
Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis. GECCO Companion 2021: 293-294 - [i7]Thomas Bartz-Beielstein
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis. CoRR abs/2105.07420 (2021) - [i6]Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein:
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization. CoRR abs/2107.08761 (2021) - 2020
- [i5]Thomas Bartz-Beielstein
Optimization of High-dimensional Simulation Models Using Synthetic Data. CoRR abs/2009.02781 (2020) - [i4]Thomas Bartz-Beielstein
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic. CoRR abs/2012.07188 (2020)
2010 – 2019
- 2016
- [i3]Nikolaus Hansen, Tea Tusar
COCO: The Experimental Procedure. CoRR abs/1603.08776 (2016) - [i2]Nikolaus Hansen, Anne Auger, Olaf Mersmann
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. CoRR abs/1603.08785 (2016) - 2015
- [j4]Olaf Mersmann
Analyzing the BBOB Results by Means of Benchmarking Concepts. Evol. Comput. 23(1): 161-185 (2015) - 2014
- [j3]Thomas Bartz-Beielstein
Evolutionary Algorithms. WIREs Data Mining Knowl. Discov. 4(3): 178-195 (2014) - 2013
- [j2]Olaf Mersmann
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem. Ann. Math. Artif. Intell. 69(2): 151-182 (2013) - [c13]Leonard Judt, Olaf Mersmann
Do Hypervolume Regressions Hinder EMOA Performance? Surprise and Relief. EMO 2013: 96-110 - [c12]Oliver Flasch, Martina Friese
Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. EvoApplications 2013: 172-181 - [c11]Samadhi Nallaperuma, Markus Wagner
A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem. FOGA 2013: 147-160 - 2012
- [j1]Bernd Bischl, Olaf Mersmann
Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation. Evol. Comput. 20(2): 249-275 (2012) - [c10]Bernd Bischl, Olaf Mersmann, Heike Trautmann, Mike Preuß:
Algorithm selection based on exploratory landscape analysis and cost-sensitive learning. GECCO 2012: 313-320 - [c9]Olaf Mersmann
Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness. LION 2012: 115-129 - [c8]Leonard Judt, Olaf Mersmann
Effect of SMS-EMOA Parameterizations on Hypervolume Decreases. LION 2012: 419-424 - [i1]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Frank Neumann:
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem. CoRR abs/1208.2318 (2012) - 2011
- [c7]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph:
Exploratory landscape analysis. GECCO 2011: 829-836 - 2010
- [c6]Olaf Mersmann, Heike Trautmann, Boris Naujoks
Benchmarking evolutionary multiobjective optimization algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c5]Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein
RGP: an open source genetic programming system for the R environment. GECCO (Companion) 2010: 2071-2072 - [c4]Claus Weihs, Olaf Mersmann
A Case Study on the Use of Statistical Classification Methods in Particle Physics. GfKl 2010: 69-77 - [c3]Olaf Mersmann
On the Distribution of EMOA Hypervolumes. LION 2010: 333-337 - [c2]Olaf Mersmann
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. PPSN (1) 2010: 73-82 - [c1]Sanaz Mostaghim
Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. PPSN (2) 2010: 101-110
Coauthor Index
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