A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)

Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney

IJCAI 2023 pp. 6964-6968

doi:10.24963/IJCAI.2023/791 /ijcai/2023/schede2023ijcai-survey/

Abstract

Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There are currently a wide variety of AC problem variants and methods proposed in the literature. Existing reviews do not take into account all derivatives of the AC problem, nor do they offer a complete classification scheme. To this end, we introduce taxonomies to describe the AC problem and features of configuration methods, respectively. Existing AC literature is classified and characterized by the provided taxonomies.

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Text

Schede et al. "A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/791

Markdown

[Schede et al. "A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/schede2023ijcai-survey/) doi:10.24963/IJCAI.2023/791

BibTeX

@inproceedings{schede2023ijcai-survey,
  title     = {{A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)}},
  author    = {Schede, Elias and Brandt, Jasmin and Tornede, Alexander and Wever, Marcel and Bengs, Viktor and Hüllermeier, Eyke and Tierney, Kevin},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {6964-6968},
  doi       = {10.24963/IJCAI.2023/791},
  url       = {https://mlanthology.org/ijcai/2023/schede2023ijcai-survey/}
}