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Olaf Mersmann
Olaf Mersmann
TH Köln
Verified email at p-value.net - Homepage
Title
Cited by
Cited by
Year
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
2872011
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
2802021
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
1732012
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
1732012
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
1522012
tuneR–analysis of music
U Ligges
1242013
microbenchmark: Accurate timing functions
O Mersmann, C Beleites, R Hurling, A Friedman
R package version 1 (4-2), 1, 2015
1192015
tuneR: analysis of music and speech
U Ligges, S Krey, O Mersmann, S Schnackenberg
See https://CRAN. R-project. org/package= tuneR, 2018
1082018
Benchmarking evolutionary algorithms: Towards exploratory landscape analysis
O Mersmann, M Preuss, H Trautmann
International Conference on Parallel Problem Solving from Nature, 73-82, 2010
1022010
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
892013
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
892013
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
632015
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
492015
Evolutionary algorithms
T Bartz‐Beielstein, J Branke, J Mehnen, O Mersmann
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (3 …, 2014
492014
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
452012
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
442018
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
412004
COCO: The experimental procedure
N Hansen, T Tusar, O Mersmann, A Auger, D Brockhoff
arXiv preprint arXiv:1603.08776, 2016
402016
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
342014
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