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

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

Cite as

Steinhoff, V., Kerschke, P., Aspar, P., Trautmann, H., & Grimme, C. (2020). Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2445–2452.

Details

Publication type
Research article in proceedings (conference)

Peer reviewed
Yes

Publication status
Published

Year
2020

Conference
Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)

Venue
Canberra, Australia

Start page
2445

End page
2452

Language
English

DOI
https://doi.org/10.1109/SSCI47803.2020.9308259

Full text
2010.01004.pdf