Pascal Kerschke

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Heike TrautmannProfessor of Machine Learning and Optimisation, Paderborn University, GermanyVerified email at uni-paderborn.de
Jakob BossekPaderborn UniversityVerified email at uni-paderborn.de
Christian GrimmeProfessor of Computational Social Science & Systems Analysis at 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
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Lennart SchäpermeierResearch Assistant, TU Dresden & ScaDS.AIVerified email at tu-dresden.de
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceVerified email at mpi-inf.mpg.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Moritz SeilerPostDoc, Machine Learning and Optimisation, Paderborn UniversityVerified email at uni-paderborn.de
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaVerified email at monash.edu
Raphael Patrick PragerUniversity of MünsterVerified email at uni-muenster.de
Boris NaujoksCologne University of Applied SciencesVerified email at fh-koeln.de
Vanessa VolzCentrum Wiskunde & Informatica (CWI)Verified email at cwi.nl
Hao WangLeiden UniversityVerified email at liacs.leidenuniv.nl
Michael T.M. Emmerich (Dr. rer. nat.)Professor in Multiobjective OptimizationVerified email at liacs.nl
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Aneta NeumannResearcher, The University of Adelaide, AustraliaVerified email at adelaide.edu.au
Manuel López-IbáñezProfessor of Optimisation, Alliance Manchester Business School, University of Manchester, UKVerified email at manchester.ac.uk

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	501	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	290	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	197	2019
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	134	2020
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	134	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	101	2015
Leveraging TSP solver complementarity through machine learning P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann Evolutionary computation 26 (4), 597-620, 2018	93	2018
Improving the state of the art in inexact TSP solving using per-instance algorithm selection L Kotthoff, P Kerschke, H Hoos, H Trautmann Learning and Intelligent Optimization: 9th International Conference, LION 9 …, 2015	77	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, 977-991, 2019	72	2019
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	63	2016
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	60	2019
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	56	2014
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	55	2016
Towards analyzing multimodality of continuous multiobjective landscapes P Kerschke, H Wang, M Preuss, C Grimme, A Deutz, H Trautmann, ... Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016	48	2016
An expedition to multimodal multi-objective optimization landscapes P Kerschke, C Grimme Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017	45	2017
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	42	2020
Modelling interventions in INGARCH processes T Liboschik, P Kerschke, K Fokianos, R Fried International Journal of Computer Mathematics 93 (4), 640-657, 2016	42	2016
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics A Chinnov, P Kerschke, C Meske, S Stieglitz, H Trautmann	41	2015
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	29	2019
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem M Seiler, J Pohl, J Bossek, P Kerschke, H Trautmann International Conference on Parallel Problem Solving from Nature, 48-64, 2020	28	2020

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