Heike Trautmann

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Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
Olaf MersmannTH KölnVerified email at p-value.net
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Christian GrimmeDepartment of Information Systems, University of Münster, GermanyVerified email at uni-muenster.de
Tobias WagnerInstitute of Machining Technology (ISF), TU DortmundVerified email at isf.de
Oliver SchutzeCINVESTAV-IPNVerified email at cs.cinvestav.mx
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Jakob BossekWestfälische Wilhelms Universität MünsterVerified email at wi.uni-muenster.de
Dr Jorn MehnenProfessor at the University of StrathclydeVerified email at strath.ac.uk
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Boris NaujoksCologne University of Applied SciencesVerified email at fh-koeln.de
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr
Michael EmmerichAssociate Professor, LIACS, Leiden UniversityVerified email at liacs.nl
Markus WagnerAssociate Professor of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Dennis AssenmacherUniversity of MünsterVerified email at wi.uni-muenster.de
Gottfried VossenProfessor of Computer Science, University of Muenster, GermanyVerified email at wwu.de
Hao WangAssistant Professor in Leiden UniversityVerified email at liacs.leidenuniv.nl
Víctor Adrián Sosa HernándezITESM-CEMVerified email at tec.mx
Longmei LiLeiden Institute of Advanced Computer ScienceVerified email at liacs.leidenuniv.nl

Heike Trautmann

Professor of Data Science: Statistics and Optimization, Department of Information Systems

Verified email at wi.uni-muenster.de - Homepage

Evolutionary Computation Multiobjective Optimization Algorithm Selection Exploratory Landscape Analysis Big Data and Data Sc


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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	211	2011
On the properties of the R2 indicator D Brockhoff, T Wagner, H Trautmann Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012	147	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	134	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	133	2012
Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	125	2019
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	114	2010
Social bots: Human-like by means of human control? C Grimme, M Preuss, L Adam, H Trautmann Big data 5 (4), 279-293, 2017	84	2017
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	83	2013
Benchmarking evolutionary algorithms: Towards exploratory landscape analysis O Mersmann, M Preuss, H Trautmann International Conference on Parallel Problem Solving from Nature, 73-82, 2010	78	2010
On the distribution of the desirability index using Harrington’s desirability function H Trautmann, C Weihs Metrika 63 (2), 207-213, 2006	75	2006
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	74	2013
2 indicator-based multiobjective search D Brockhoff, T Wagner, H Trautmann Evolutionary Computation 23 (3), 369-395, 2015	62	2015
Automated algorithm selection on continuous black-box problems by combining exploratory landscape analysis and machine learning P Kerschke, H Trautmann Evolutionary computation 27 (1), 99-127, 2019	59	2019
truncnorm: Truncated normal distribution H Trautmann, D Steuer, O Mersmann, B Bornkamp R package version, 2012	53	2012
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	53	2009
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	49	2015
Preference-based Pareto optimization in certain and noisy environments H Trautmann, J Mehnen Engineering Optimization 41 (1), 23-38, 2009	48	2009
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	47	2011
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	44	2015
Cell mapping techniques for exploratory landscape analysis P Kerschke, M Preuss, C Hernández, O Schütze, JQ Sun, C Grimme, ... EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2014	44	2014

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