Pascal Kerschke
Pascal Kerschke
Professor of Big Data Analytics in Transportation, TU Dresden, Germany
Verified email at - Homepage
Cited by
Cited by
Automated Algorithm Selection: Survey and Perspectives
P Kerschke, HH Hoos, F Neumann, H Trautmann
Evolutionary computation 27 (1), 3-45, 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
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
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
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
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
Leveraging TSP solver complementarity through machine learning
P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann
Evolutionary computation 26 (4), 597-620, 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
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
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
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
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
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
An expedition to multimodal multi-objective optimization landscapes
P Kerschke, C Grimme
Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017
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
Modelling interventions in INGARCH processes
T Liboschik, P Kerschke, K Fokianos, R Fried
International Journal of Computer Mathematics 93 (4), 640-657, 2016
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics
A Chinnov, P Kerschke, C Meske, S Stieglitz, H Trautmann
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
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
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
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