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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 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)