Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms

Diederick Vermetten, Hao Wang 0025, Manuel López-Ibáñez 0001, Carola Doerr, Thomas Bäck. Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. In Jonathan E. Fieldsend, Markus Wagner 0007, editors, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022. pages 867-875, ACM, 2022. [doi]

@inproceedings{VermettenW0DB22,
  title = {Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms},
  author = {Diederick Vermetten and Hao Wang 0025 and Manuel López-Ibáñez 0001 and Carola Doerr and Thomas Bäck},
  year = {2022},
  doi = {10.1145/3512290.3528799},
  url = {https://doi.org/10.1145/3512290.3528799},
  researchr = {https://researchr.org/publication/VermettenW0DB22},
  cites = {0},
  citedby = {0},
  pages = {867-875},
  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},
}