Olaf Mersmann

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Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Claus WeihsProfessor für Computergestützte Statistik, TU DortmundVerified email at tu-dortmund.de
Tea TušarResearch fellow, Jožef Stefan InstituteVerified email at ijs.si
Thomas Bartz-BeielsteinTH Koeln, Institute for Data Science, Engineering, and AnalyticsVerified email at th-koeln.de
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Nikolaus HansenInria & Institut Polytechnique de Paris, FranceVerified email at Inria.fr
Anne AugerInria, CMAP Ecole Polytechnique, IP ParisVerified email at inria.fr
Boris NaujoksCologne University of Applied SciencesVerified email at fh-koeln.de
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Markus WagnerAssociate Professor of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Martin ZaeffererTH Köln University of Applied SciencesVerified email at th-koeln.de
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr
Michel LangTU Dortmund; LMU MunichVerified email at statistik.tu-dortmund.de
Jakob BossekRWTH Aachen UniversityVerified email at aim.rwth-aachen.de
Jörg StorkSenior Data Scientist, Otto Fuchs KGVerified email at otto-fuchs.com
Jörg RahnenführerTU Dortmund UniversityVerified email at statistik.tu-dortmund.de
Frederik RehbachCologne University of Applied SciencesVerified email at th-koeln.de
Martina Echtenbruck (née Friese)Cologne University of Applied SciencesVerified email at th-koeln.de
Ekaterina (Katya) VladislavlevaChief Data ScientistVerified email at datastories.com

Olaf Mersmann

TH Köln

Verified email at p-value.net - Homepage

Statistics Optimization Machine Learning


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Exploratory landscape analysis O Mersmann, B Bischl, H Trautmann, M Preuss, C Weihs, G Rudolph Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011	287	2011
COCO: A platform for comparing continuous optimizers in a black-box setting N Hansen, A Auger, R Ros, O Mersmann, T Tušar, D Brockhoff Optimization Methods and Software 36 (1), 114-144, 2021	280	2021
Resampling methods for meta-model validation with recommendations for evolutionary computation B Bischl, O Mersmann, H Trautmann, C Weihs Evolutionary computation 20 (2), 249-275, 2012	173	2012
Resampling methods for meta-model validation with recommendations for evolutionary computation B Bischl, O Mersmann, H Trautmann, C Weihs Evolutionary computation 20 (2), 249-275, 2012	173	2012
Algorithm selection based on exploratory landscape analysis and cost-sensitive learning B Bischl, O Mersmann, H Trautmann, M Preuß Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012	152	2012
tuneR–analysis of music U Ligges	124	2013
microbenchmark: Accurate timing functions O Mersmann, C Beleites, R Hurling, A Friedman R package version 1 (4-2), 1, 2015	119	2015
tuneR: analysis of music and speech U Ligges, S Krey, O Mersmann, S Schnackenberg See https://CRAN. R-project. org/package= tuneR, 2018	108	2018
Benchmarking evolutionary algorithms: Towards exploratory landscape analysis O Mersmann, M Preuss, H Trautmann International Conference on Parallel Problem Solving from Nature, 73-82, 2010	102	2010
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem O Mersmann, B Bischl, H Trautmann, M Wagner, J Bossek, F Neumann Annals of Mathematics and Artificial Intelligence 69 (2), 151-182, 2013	89	2013
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem O Mersmann, B Bischl, H Trautmann, M Wagner, J Bossek, F Neumann Annals of Mathematics and Artificial Intelligence 69 (2), 151-182, 2013	89	2013
Package ‘truncnorm’ H Trautmann, D Steuer, O Mersmann, B Bornkamp, MO Mersmann	64*	2015
BatchJobs and BatchExperiments: Abstraction mechanisms for using R in batch environments B Bischl, M Lang, O Mersmann, J Rahnenführer, C Weihs Journal of Statistical Software 64, 1-25, 2015	63	2015
Analyzing the BBOB results by means of benchmarking concepts O Mersmann, M Preuss, H Trautmann, B Bischl, C Weihs Evolutionary computation 23 (1), 161-185, 2015	49	2015
Evolutionary algorithms T Bartz‐Beielstein, J Branke, J Mehnen, O Mersmann Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (3 …, 2014	49	2014
Local search and the traveling salesman problem: A feature-based characterization of problem hardness O Mersmann, B Bischl, J Bossek, H Trautmann, M Wagner, F Neumann International Conference on Learning and Intelligent Optimization, 115-129, 2012	45	2012
truncnorm: Truncated Normal Distribution. R package version 1.0-8 O Mersmann, H Trautmann, D Steuer, B Bornkamp See https://CRAN. R-project. org/package= truncnorm, 2018	44	2018
microbenchmark: Accurate timing functions, 2015 O Mersmann, C Beleites, R Hurling, A Friedman, JM Ulrich URL https://CRAN. R-project. org/package= microbenchmark. R package version …, 2004	41	2004
COCO: The experimental procedure N Hansen, T Tusar, O Mersmann, A Auger, D Brockhoff arXiv preprint arXiv:1603.08776, 2016	40	2016
mco: Multiple criteria optimization algorithms and related functions O Mersmann, H Trautmann, D Steuer, B Bischl, K Deb R package version, 1.0-15.1, 2014	34	2014

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