Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features-Reference-Cited by-同舟云学术

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

Published:2023-08-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
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Author:

Prager Raphael Patrick¹^ORCID,Dietrich Konstantin²^ORCID,Schneider Lennart³^ORCID,Schäpermeier Lennart⁴^ORCID,Bischl Bernd³^ORCID,Kerschke Pascal⁴^ORCID,Trautmann Heike⁵^ORCID,Mersmann Olaf⁶^ORCID

Affiliation:

1. University of Münster, Münster, NRW, Germany

2. TU Dresden & Center for Scalable, Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden, Saxony, Germany

3. LMU Munich & Munich Center for Machine Learning (MCML), Munich, Bavaria, Germany

4. TU Dresden & Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden, Saxony, Germany

5. University of Münster, Münster, NRW, Germany, University of Twente, Enschede, Overijssel, Netherlands

6. TH Köln, Gummersbach, NRW, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594805.3607136

Reference40 articles.

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