Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
Steinhoff Vera, Kerschke Pascal, Aspar Pelin, Trautmann Heike, Grimme Christian
Research article in edited proceedings (conference) | Peer reviewedDetails about the publication
Page range: 2445-2452
Status: Published
Release year: 2020
Language in which the publication is written: English
Conference: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, undefined
Link to the full text: https://arxiv.org/pdf/2010.01004.pdf
Authors from the University of Münster
| Aspar, Pelin | Data Science: Statistics and Optimization (Statistik) |
| Grimme, Christian | Data Science: Statistics and Optimization (Statistik) |
| Kerschke, Pascal | Data Science: Statistics and Optimization (Statistik) |
| Steinhoff, Vera | Data Science: Statistics and Optimization (Statistik) |
| Trautmann, Heike | Data Science: Statistics and Optimization (Statistik) |