Raphael Patrick Prager

According to our database, Raphael Patrick Prager authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploratory Landscape Analysis for Mixed-Variable Problems.

Raphael Patrick Prager, Heike Trautmann

CoRR, 2024

2023

Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis.

Raphael Patrick Prager

CoRR, 2023

Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.

Raphael Patrick Prager, Heike Trautmann

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.

Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features.

Raphael Patrick Prager, Heike Trautmann

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.

Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke

CoRR, 2022

HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.

Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.

Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes.

Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.

Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.

Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

An Experiment on Game Facet Combination\.

Raphael Patrick Prager, Laura Troost, Simeon Brüggenjürgen, David Melhart, Georgios N. Yannakakis, Mike Preuss

Proceedings of the IEEE Conference on Games, 2019