Heike Trautmann
Heike Trautmann
Professor of Statistics, Department of Information Systems, University of Münster, Germany
Verified email at wi.uni-muenster.de - Homepage
TitleCited byYear
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
1482011
On the properties of the R2 indicator
D Brockhoff, T Wagner, H Trautmann
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
1122012
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
1012012
Integration of preferences in hypervolume-based multiobjective evolutionary algorithms by means of desirability functions
T Wagner, H Trautmann
IEEE Transactions on Evolutionary Computation 14 (5), 688-701, 2010
962010
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
782012
R2-EMOA: Focused multiobjective search using R2-indicator-based selection
H Trautmann, T Wagner, D Brockhoff
International Conference on Learning and Intelligent Optimization, 70-74, 2013
632013
On the distribution of the desirability index using Harrington’s desirability function
H Trautmann, C Weihs
Metrika 63 (2), 207-213, 2006
622006
Benchmarking evolutionary algorithms: Towards exploratory landscape analysis
O Mersmann, M Preuss, H Trautmann
International Conference on Parallel Problem Solving from Nature, 73-82, 2010
612010
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
562013
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
562013
Statistical methods for convergence detection of multi-objective evolutionary algorithms
H Trautmann, T Wagner, B Naujoks, M Preuss, J Mehnen
Evolutionary computation 17 (4), 493-509, 2009
512009
Preference-based Pareto optimization in certain and noisy environments
H Trautmann, J Mehnen
Engineering Optimization 41 (1), 23-38, 2009
472009
truncnorm: Truncated normal distribution
H Trautmann, D Steuer, O Mersmann, B Bornkamp
R package version, 2012
462012
2 indicator-based multiobjective search
D Brockhoff, T Wagner, H Trautmann
Evolutionary Computation 23 (3), 369-395, 2015
432015
A taxonomy of online stopping criteria for multi-objective evolutionary algorithms
T Wagner, H Trautmann, L Martí
International Conference on Evolutionary Multi-Criterion Optimization, 16-30, 2011
422011
OCD: Online convergence detection for evolutionary multi-objective algorithms based on statistical testing
T Wagner, H Trautmann, B Naujoks
International Conference on Evolutionary Multi-Criterion Optimization, 198-215, 2009
422009
Social bots: Human-like by means of human control?
C Grimme, M Preuss, L Adam, H Trautmann
Big data 5 (4), 279-293, 2017
342017
Detecting funnel structures by means of exploratory landscape analysis
P Kerschke, M Preuss, S Wessing, H Trautmann
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
332015
Improving the state of the art in inexact TSP solving using per-instance algorithm selection
L Kotthoff, P Kerschke, H Hoos, H Trautmann
International Conference on Learning and Intelligent Optimization, 202-217, 2015
332015
Preference articulation by means of the R2 indicator
T Wagner, H Trautmann, D Brockhoff
International Conference on Evolutionary Multi-Criterion Optimization, 81-95, 2013
332013
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