Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy

Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr. Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. In Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang 0025, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann, editors, Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II. Volume 12270 of Lecture Notes in Computer Science, pages 139-153, Springer, 2020. [doi]

@inproceedings{RenauDDD20,
  title = {Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy},
  author = {Quentin Renau and Carola Doerr and Johann Dréo and Benjamin Doerr},
  year = {2020},
  doi = {10.1007/978-3-030-58115-2_10},
  url = {https://doi.org/10.1007/978-3-030-58115-2_10},
  researchr = {https://researchr.org/publication/RenauDDD20},
  cites = {0},
  citedby = {0},
  pages = {139-153},
  booktitle = {Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II},
  editor = {Thomas Bäck and Mike Preuss and André H. Deutz and Hao Wang 0025 and Carola Doerr and Michael T. M. Emmerich and Heike Trautmann},
  volume = {12270},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58115-2},
}