A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs

Ricardo García-Ródenas, José Carlos García-García, Jesús López-Fidalgo, Jose Angel Martin-Baos, Weng Kee Wong. A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs. Computational Statistics & Data Analysis, 144:106844, 2020. [doi]

@article{Garcia-RodenasG20,
  title = {A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs},
  author = {Ricardo García-Ródenas and José Carlos García-García and Jesús López-Fidalgo and Jose Angel Martin-Baos and Weng Kee Wong},
  year = {2020},
  doi = {10.1016/j.csda.2019.106844},
  url = {https://doi.org/10.1016/j.csda.2019.106844},
  researchr = {https://researchr.org/publication/Garcia-RodenasG20},
  cites = {0},
  citedby = {0},
  journal = {Computational Statistics & Data Analysis},
  volume = {144},
  pages = {106844},
}