Pascal Kerschke
TitleCited byYear
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
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
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
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
Automated Algorithm Selection: Survey and Perspectives
P Kerschke, HH Hoos, F Neumann, H Trautmann
Evolutionary computation 27 (1), 3-45, 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
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, 1-15, 2017
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
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
An Expedition to Multimodal Multi-objective Optimization Landscapes
P Kerschke, C Grimme
International Conference on Evolutionary Multi-Criterion Optimization, 329-343, 2017
Modelling interventions in INGARCH processes
T Liboschik, P Kerschke, K Fokianos, R Fried
International Journal of Computer Mathematics 93 (4), 640-657, 2016
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
flacco: Feature-Based Landscape Analysis of Continuous and Constraint Optimization Problems
P Kerschke, J Dagefoerde
R package version 1, 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
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco
P Kerschke
arXiv preprint arXiv:1708.05258, 2017
Search Dynamics on Multimodal Multiobjective Problems
P Kerschke, H Wang, M Preuss, C Grimme, AH Deutz, H Trautmann, ...
Evolutionary computation, 1-33, 2018
Averaged Hausdorff approximations of pareto fronts based on multiobjective estimation of distribution algorithms
L Martí, C Grimme, P Kerschke, H Trautmann, G Rudolph
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
flaccogui: exploratory landscape analysis for everyone
C Hanster, P Kerschke
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics
A Chinnov, P Kerschke, C Meske, S Stieglitz, H Trautmann
Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning
P Kerschke
Universitäts-und Landesbibliothek Münster, 2018
The system can't perform the operation now. Try again later.
Articles 1–20