Articles with public access mandates - Pascal KerschkeLearn more
Not available anywhere: 2
Modelling interventions in INGARCH processes
T Liboschik, P Kerschke, K Fokianos, R Fried
International Journal of Computer Mathematics 93 (4), 640-657, 2016
Mandates: German Research Foundation
Workshops at PPSN 2018
R Purshouse, C Zarges, S Cussat-Blanc, MG Epitropakis, M Gallagher, ...
Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018
Mandates: European Commission
Available somewhere: 14
Automated Algorithm Selection: Survey and Perspectives
P Kerschke, HH Hoos, F Neumann, H Trautmann
Evolutionary computation 27 (1), 3-45, 2019
Mandates: Australian Research Council
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
Mandates: Natural Sciences and Engineering Research Council of Canada, German Research …
Leveraging TSP solver complementarity through machine learning
P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann
Evolutionary computation 26 (4), 597-620, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
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
Mandates: Australian Research Council, European Commission
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
Mandates: Slovenian Research Agency, European Commission
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
Mandates: Netherlands Organisation for Scientific Research
HPO ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
L Schneider, L Schäpermeier, RP Prager, B Bischl, H Trautmann, ...
International Conference on Parallel Problem Solving from Nature, 575-589, 2022
Mandates: Federal Ministry of Education and Research, Germany
Evolving sampling strategies for one-shot optimization tasks
J Bossek, C Doerr, P Kerschke, A Neumann, F Neumann
Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020
Mandates: Australian Research Council
The node weight dependent traveling salesperson problem: approximation algorithms and randomized search heuristics
J Bossek, K Casel, P Kerschke, F Neumann
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
Mandates: Federal Ministry of Education and Research, Germany
Making a case for (Hyper-) parameter tuning as benchmark problems
C Doerr, J Dréo, P Kerschke
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
Mandates: European Commission
Tools for landscape analysis of optimisation problems in procedural content generation for games
V Volz, B Naujoks, P Kerschke, T Tušar
Applied Soft Computing 136, 110121, 2023
Mandates: Slovenian Research Agency
Process-Oriented Stream Classification Pipeline: A Literature Review
L Clever, JS Pohl, J Bossek, P Kerschke, H Trautmann
Applied Sciences 12 (18), 9094, 2022
Mandates: Federal Ministry of Education and Research, Germany
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
J Bossek, P Kerschke, H Trautmann
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
Mandates: Australian Research Council
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
K Dietrich, D Vermetten, C Doerr, P Kerschke
arXiv preprint arXiv:2404.07539, 2024
Mandates: Agence Nationale de la Recherche
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