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 University & Jyväskyla University, Visiting ResearcherVerified 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	206	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	146	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	132	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	130	2012
Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	118	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
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	81	2013
Social bots: Human-like by means of human control? C Grimme, M Preuss, L Adam, H Trautmann Big data 5 (4), 279-293, 2017	78	2017
Benchmarking evolutionary algorithms: Towards exploratory landscape analysis O Mersmann, M Preuss, H Trautmann International Conference on Parallel Problem Solving from Nature, 73-82, 2010	76	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	72	2013
2 indicator-based multiobjective search D Brockhoff, T Wagner, H Trautmann Evolutionary Computation 23 (3), 369-395, 2015	61	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	55	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
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
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	46	2015
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	45	2009
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

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