| Pflacco: Feature-based landscape analysis of continuous and constrained optimization problems in Python RP Prager, H Trautmann Evolutionary Computation 32 (3), 211-216, 2024 | 24 | 2024 |
| Nullifying the inherent bias of non-invariant exploratory landscape analysis features RP Prager, H Trautmann International Conference on the Applications of Evolutionary Computation …, 2023 | 23 | 2023 |
| A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes MV Seiler, RP Prager, P Kerschke, H Trautmann Proceedings of the Genetic and Evolutionary Computation Conference, 657-665, 2022 | 21 | 2022 |
| Automated algorithm selection in single-objective continuous optimization: a comparative study of deep learning and landscape analysis methods RP Prager, MV Seiler, H Trautmann, P Kerschke International Conference on Parallel Problem Solving from Nature, 3-17, 2022 | 20 | 2022 |
| Towards feature-free automated algorithm selection for single-objective continuous black-box optimization RP Prager, MV Seiler, H Trautmann, P Kerschke 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 18 | 2021 |
| Per-instance configuration of the modularized CMA-ES by means of classifier chains and exploratory landscape analysis RP Prager, H Trautmann, H Wang, THW Bäck, P Kerschke 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 996-1003, 2020 | 14 | 2020 |
| 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 | 13 | 2022 |
| An Experiment on Game Facet Combination\ RP Prager, L Troost, S Brüggenjürgen, D Melhart, G Yannakakis, ... 2019 IEEE Conference on Games (CoG), 1-8, 2019 | 7 | 2019 |
| Neural networks as black-box benchmark functions optimized for exploratory landscape features RP Prager, K Dietrich, L Schneider, L Schäpermeier, B Bischl, P Kerschke, ... Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic …, 2023 | 3 | 2023 |
| Investigating the viability of existing exploratory landscape analysis features for mixed-integer problems RP Prager, H Trautmann Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 3 | 2023 |
| Exploratory Landscape Analysis for Mixed-Variable Problems RP Prager, H Trautmann IEEE Transactions on Evolutionary Computation, 2024 | 2 | 2024 |
| Improving automated algorithm selection by advancing fitness landscape analysis RP Prager arXiv preprint arXiv:2312.03105, 2023 | 1 | 2023 |
| Hybridizing Target-and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization K Dietrich, RP Prager, C Doerr, H Trautmann International Conference on Parallel Problem Solving from Nature, 154-169, 2024 | | 2024 |
| A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes M Vinzent Seiler, RP Prager, P Kerschke, H Trautmann arXiv e-prints, arXiv: 2204.05752, 2022 | | 2022 |