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Raphael Patrick Prager
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Nullifying the inherent bias of non-invariant exploratory landscape analysis features
RP Prager, H Trautmann
International Conference on the Applications of Evolutionary Computation …, 2023
182023
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
182022
Pflacco: Feature-based landscape analysis of continuous and constrained optimization problems in python
RP Prager, H Trautmann
Evolutionary Computation, 1-6, 2024
172024
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
172022
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
132020
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
122021
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
112022
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
52019
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
32023
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
22023
Exploratory Landscape Analysis for Mixed-Variable Problems
RP Prager, H Trautmann
IEEE Transactions on Evolutionary Computation, 2024
12024
Hybridizing Target-and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
K Dietrich, RP Prager, C Doerr, H Trautmann
arXiv preprint arXiv:2407.07439, 2024
2024
Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis
RP Prager
arXiv preprint arXiv:2312.03105, 2023
2023
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
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