Pascal Kerschke

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Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Jakob BossekRWTH Aachen UniversityVerified email at aim.rwth-aachen.de
Christian GrimmeDepartment of Information Systems, University of Münster, GermanyVerified email at uni-muenster.de
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaVerified email at cs.rwth-aachen.de
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceVerified email at mpi-inf.mpg.de
Michael EmmerichAssociate Professor, LIACS, Leiden University & Lead AI Scientist at SILO.AIVerified email at liacs.nl
Hao WangAssistant Professor in Leiden UniversityVerified email at liacs.leidenuniv.nl
Lennart SchäpermeierResearch Assistant, TU DresdenVerified email at tu-dresden.de
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaVerified email at monash.edu
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Boris NaujoksCologne University of Applied SciencesVerified email at fh-koeln.de
Vanessa Volzmodl.aiVerified email at modl.ai
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence, L3S Research CenterVerified email at ai.uni-hannover.de
Yuri MalitskyIBM ResearchVerified email at us.ibm.com
Kevin TierneyBielefeld UniversityVerified email at uni-bielefeld.de
Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairVerified email at cs.ubc.ca

Pascal Kerschke

Professor of Big Data Analytics in Transportation, TU Dresden, Germany

Verified email at tu-dresden.de - Homepage

Automated Algorithm Selection Optimization Machine Learning Data Science Exploratory Landscape Analysis


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Automated Algorithm Selection: Survey and Perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	309	2019
Aslib: A benchmark library for algorithm selection B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ... Artificial Intelligence 237, 41-58, 2016	214	2016
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	120	2019
Comprehensive feature-based landscape analysis of continuous and constrained optimization problems using the R-package flacco P Kerschke, H Trautmann Applications in Statistical Computing: From Music Data Analysis to …, 2019	76	2019
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	73	2015
Benchmarking in Optimization: Best Practice and Open Issues T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ... arXiv preprint arXiv:2007.03488, 2020	69	2020
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	65	2015
OpenML: An R package to connect to the machine learning platform OpenML G Casalicchio, J Bossek, M Lang, D Kirchhoff, P Kerschke, B Hofner, ... Computational Statistics 34 (3), 977-991, 2019	61	2019
Leveraging TSP solver complementarity through machine learning P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann Evolutionary computation 26 (4), 597-620, 2018	60	2018
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	51	2014
Low-budget exploratory landscape analysis on multiple peaks models P Kerschke, M Preuss, S Wessing, H Trautmann Proceedings of the Genetic and Evolutionary Computation Conference 2016, 229-236, 2016	45	2016
An Expedition to Multimodal Multi-objective Optimization Landscapes P Kerschke, C Grimme International Conference on Evolutionary Multi-Criterion Optimization, 329-343, 2017	42	2017
The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems P Kerschke, H Trautmann 2016 IEEE Congress on Evolutionary Computation (CEC), 5262-5269, 2016	42	2016
Towards Analyzing Multimodality of Continuous Multiobjective Landscapes P Kerschke, H Wang, M Preuss, C Grimme, A Deutz, H Trautmann, ... International Conference on Parallel Problem Solving from Nature, 962-972, 2016	41	2016
Modelling interventions in INGARCH processes T Liboschik, P Kerschke, K Fokianos, R Fried International Journal of Computer Mathematics 93 (4), 640-657, 2016	32	2016
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics A Chinnov, P Kerschke, C Meske, S Stieglitz, H Trautmann	31	2015
Evolving diverse TSP instances by means of novel and creative mutation operators J Bossek, P Kerschke, A Neumann, M Wagner, F Neumann, H Trautmann Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic …, 2019	29	2019
Search Dynamics on Multimodal Multiobjective Problems P Kerschke, H Wang, M Preuss, C Grimme, AH Deutz, H Trautmann, ... Evolutionary computation 27 (4), 577-609, 2019	25	2019
Initial Design Strategies and their Effects on Sequential Model-Based Optimization An Exploratory Case Study Based on BBOB J Bossek, C Doerr, P Kerschke Genetic and Evolutionary Computation Conference (GECCO'20), 2020	21	2020
Single-and multi-objective game-benchmark for evolutionary algorithms V Volz, B Naujoks, P Kerschke, T Tušar Proceedings of the Genetic and Evolutionary Computation Conference, 647-655, 2019	20	2019

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