University of Münster
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Dr. Raphael Patrick Prager

No current affiliations available for this person. The person is no longer active at the university.

Curriculum Vitae (CV)

  • Black-Box Optimization
  • Evolutionary Algorithms
  • Exploratory Landscape Analysis
  • Algorithm Selection

Academic Education

since 06/2019Doctoral Studies in Information Systems (PhD), School of Business and Economics, University of Münster, Germany
10/2010 - 04/2019Studies in Information Systems (BSc. & MSc.)

Work Experience

since 2019Data Scientist at BASF Coatings GmbH, Münster, Germany
since 2019Research Assistant at the Chair for Data Science: Statistics and Optimization, Department for Information Systems, WWU Münster, Münster, Germany
2017 - 2019Junior Consultant at ISR Information Products AG, Münster, Germany

Publications

Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features
Prager RP; Trautmann H (2023)
In: Correia J; Smith S; Qaddoura R (eds.), Applications of Evolutionary Computation, 411-425. Cham: Springer Nature. doi:10.1007/978-3-031-30229-9_27
Research article in edited proceedings (conference) | Peer reviewed | Published
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python
Prager, Raphael Patrick; Trautmann, Heike (2023)
In: Evolutionary Computation.
Research article (journal) | Peer reviewed | accepted / in press (not yet published)
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
Prager Patrick Raphael , Dietrich Konstantin , Schneider Lennart , Schäpermeier Lennart , Bischl Bernd , Kerschke Pascal , Trautmann Heike , Mersmann Olaf (2023)
In: Chicano, Francisco; Friedrich, Tobias; Kötzing, Timo; Rothlauf, Franz (eds.), FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129-139. online: ACM Press. doi:10.1145/3594805.3607136
Research article in edited proceedings (conference) | Peer reviewed | Published
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes
Seiler, Moritz Vinzent; Prager, Raphael Patrick; Kerschke, Pascal; Trautmann, Heike (2022)
In: - (eds.), Proceedings of the Genetic and Evolutionary Computation Conference, 657-665. New York, NY, USA: ACM Press. doi:10.1145/3512290.3528834
Research article in edited proceedings (conference) | Peer reviewed | Published
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
Prager, Raphael Patrick; Seiler, Moritz Vinzent; Trautmann, Heike; Kerschke, Pascal (2022)
In: Rudolph, Günter; Kononova, Anna V.; Aguirre, Hernán; Kerschke, Pascal; Ochoa, Gabriela; Tušar, Tea (eds.), Parallel Problem Solving from Nature -- PPSN XVII, 3-17. Cham: Springer International Publishing. doi:10.1007/978-3-031-14714-2_1
Research article in edited proceedings (conference) | Peer reviewed | Published
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