Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
Keywords
Automated algorithm selection; Traveling Salesperson Problem; Feature-based approaches; Deep learning
Cite as
Seiler, M. V., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In Proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands, 48–64.Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2020
Conference
Proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN XVI)
Venue
Leiden, The Netherlands
Editor
Bäck Thomas, Preuss Mike, Deutz André, Wang Hao, Doerr Carola, Emmerich Michael, Trautmann Heike
Start page
48
End page
64
Language
English
DOI
Full text