Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features
- DOI
- 10.1007/978-3-031-14714-2_4
- Published
- 2022
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-14714-2_4,
title = {Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features},
author = {Ana Kostovska and Anja Jankovic and Diederick Vermetten and Jacob de Nobel and Hao Wang and Tome Eftimov and Carola Doerr},
year = {2022},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-031-14714-2_4},
url = {https://doi.org/10.1007/978-3-031-14714-2_4}
}RIS
TY - JOUR TI - Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features AU - Ana Kostovska AU - Anja Jankovic AU - Diederick Vermetten AU - Jacob de Nobel AU - Hao Wang AU - Tome Eftimov AU - Carola Doerr PY - 2022 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-031-14714-2_4 UR - https://doi.org/10.1007/978-3-031-14714-2_4 ER -
APA
Kostovska, A., Jankovic, A., Vermetten, D., Nobel, J. D., Wang, H., Eftimov, T., & Doerr, C. (2022). Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-14714-2_4
Source records
- crossref · retrieved 2026-11-05T06:30:31.811Z