Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques

Sun Hye Kim, Fani Boukouvala. Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques. Optimization Letters, 14(4):989-1010, 2020. [doi]

@article{KimB20-2,
  title = {Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques},
  author = {Sun Hye Kim and Fani Boukouvala},
  year = {2020},
  doi = {10.1007/s11590-019-01428-7},
  url = {https://doi.org/10.1007/s11590-019-01428-7},
  researchr = {https://researchr.org/publication/KimB20-2},
  cites = {0},
  citedby = {0},
  journal = {Optimization Letters},
  volume = {14},
  number = {4},
  pages = {989-1010},
}