Raphael Patrick Prager

17 papers A 2C 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exploratory Landscape Analysis for Mixed-Variable Problems.
IEEE Trans. Evol. Comput.
Raphael Patrick Prager, Heike Trautmann
2024 J jnl
Exploratory Landscape Analysis for Mixed-Variable Problems.
CoRR
Raphael Patrick Prager, Heike Trautmann
2024 — conf
Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization.
PPSN (2)
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann
2024 J jnl
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization.
CoRR
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann
2024 J jnl
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.
Evol. Comput.
Raphael Patrick Prager, Heike Trautmann
2023 J jnl
Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis.
CoRR
Raphael Patrick Prager
2023 — conf
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.
GECCO Companion
Raphael Patrick Prager, Heike Trautmann
2023 A conf
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.
FOGA
Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann
2023 — conf
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features.
EvoApplications@EvoStar
Raphael Patrick Prager, Heike Trautmann
2022 J jnl
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.
CoRR
Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann
2022 A conf
A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes.
GECCO
Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann
2022 — conf
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.
PPSN (1)
Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke
2022 J jnl
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.
CoRR
Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke
2022 — conf
HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.
PPSN (1)
Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke
2021 — conf
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.
SSCI
Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke
2020 — conf
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.
SSCI
Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke
2019 C conf
An Experiment on Game Facet Combination\.
CoG
Raphael Patrick Prager, Laura Troost, Simeon Brüggenjürgen, David Melhart, Georgios N. Yannakakis, Mike Preuss