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Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient DescentOpen Access

Steinhoff Vera, Kerschke Pascal, Aspar Pelin, Trautmann Heike, Grimme Christian

Research article in edited proceedings (conference) | Peer reviewed

Details 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
DOI: 10.1109/SSCI47803.2020.9308259
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)