Automated Algorithm Selection: Survey and Perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019 | 449 | 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 | 273 | 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 | 178 | 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 | 120 | 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 | 115 | 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 | 91 | 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 | 86 | 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 | 72 | 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 | 67 | 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 | 58 | 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 | 56 | 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 | 53 | 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 | 51 | 2016 |
An expedition to multimodal multi-objective optimization landscapes P Kerschke, C Grimme Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017 | 45 | 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 | 43 | 2016 |
Modelling interventions in INGARCH processes T Liboschik, P Kerschke, K Fokianos, R Fried International Journal of Computer Mathematics 93 (4), 640-657, 2016 | 40 | 2016 |
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics A Chinnov, P Kerschke, C Meske, S Stieglitz, H Trautmann | 38 | 2015 |
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 | 34 | 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 | 26 | 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 | 25 | 2020 |