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
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Oliver SchutzeCINVESTAV-IPNVerified email at cs.cinvestav.mx
Jakob BossekRWTH Aachen UniversityVerified email at aim.rwth-aachen.de
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Dr Jorn MehnenProfessor at the University of StrathclydeVerified email at strath.ac.uk
Boris NaujoksCologne University of Applied SciencesVerified email at fh-koeln.de
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaVerified email at cs.rwth-aachen.de
Michael EmmerichAssociate Professor, LIACS, Leiden University & Lead AI Scientist at SILO.AIVerified email at liacs.nl
Dennis AssenmacherGESIS - Leibniz Institute for the Social SciencesVerified email at gesis.org
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr
Markus WagnerAssociate Professor of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Hao WangAssistant Professor in Leiden UniversityVerified email at liacs.leidenuniv.nl
Gottfried VossenProfessor of Computer Science, University of Muenster, GermanyVerified email at wwu.de
Lena FrischlichUniversity Münster (WWU)Verified email at uni-muenster.de
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	261	2011
Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	214	2019
On the properties of the R2 indicator D Brockhoff, T Wagner, H Trautmann Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012	180	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	166	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	145	2012
Social bots: Human-like by means of human control? C Grimme, M Preuss, L Adam, H Trautmann Big data 5 (4), 279-293, 2017	128	2017
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	126	2010
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	94	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	91	2010
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	89	2019
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	85	2013
On the distribution of the desirability index using Harrington’s desirability function H Trautmann, C Weihs Metrika 63 (2), 207-213, 2006	85	2006
2 indicator-based multiobjective search D Brockhoff, T Wagner, H Trautmann Evolutionary Computation 23 (3), 369-395, 2015	71	2015
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	61	2015
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	60	2015
truncnorm: Truncated normal distribution H Trautmann, D Steuer, O Mersmann, B Bornkamp R package version, 1.0-7, 2014	60	2014
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	58	2009
Preference-based Pareto optimization in certain and noisy environments H Trautmann, J Mehnen Engineering Optimization 41 (1), 23-38, 2009	52	2009
Comprehensive feature-based landscape analysis of continuous and constrained optimization problems using the R-package flacco P Kerschke, H Trautmann Applications in Statistical Computing, 93-123, 2019	51	2019
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	50	2011

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