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
Research article in edited proceedings (conference) | Peer reviewedDetails about the publication
Publisher: Chicano, Francisco; Friedrich, Tobias; Kötzing, Timo; Rothlauf, Franz
Book title: FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
Page range: 129-139
Place of publication: online
Status: Published
Release year: 2023
Conference: 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Potsdam, Germany
Link to the full text: https://doi.org/10.1145/3594805.3607136
Keywords: Exploratory Landscape Analysis; Benchmarking; Instance Generator; Black-Box Continuous Optimization; Neural Networks
Authors from the University of Münster
| Prager, Raphael Patrick | Data Science: Statistics and Optimization (Statistik) |
| Schäpermeier, Lennart Merlin | Research Group Computational Social Science and Systems Analysis (CSSSA) |