Theory-inspired parameter control benchmarks for dynamic algorithm configuration

André Biedenkapp, Nguyen Dang 0001, Martin S. Krejca, Frank Hutter, Carola Doerr. Theory-inspired parameter control benchmarks for dynamic algorithm configuration. In Jonathan E. Fieldsend, Markus Wagner 0007, editors, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022. pages 766-775, ACM, 2022. [doi]

@inproceedings{Biedenkapp0KHD22,
  title = {Theory-inspired parameter control benchmarks for dynamic algorithm configuration},
  author = {André Biedenkapp and Nguyen Dang 0001 and Martin S. Krejca and Frank Hutter and Carola Doerr},
  year = {2022},
  doi = {10.1145/3512290.3528846},
  url = {https://doi.org/10.1145/3512290.3528846},
  researchr = {https://researchr.org/publication/Biedenkapp0KHD22},
  cites = {0},
  citedby = {0},
  pages = {766-775},
  booktitle = {GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022},
  editor = {Jonathan E. Fieldsend and Markus Wagner 0007},
  publisher = {ACM},
  isbn = {978-1-4503-9237-2},
}