Citing

Citations are greatly appreciated. You can find the Zenodo DOI above, but if you would like to cite the methods or if this library has supported your research, please consider referencing one of the following works:

• Journal article on locally extending experiment designs for active learning for multi-objective uncertainty optimization:

@Article{Bogoclu2021,
  author      = {Can Bogoclu and Tamara Nestorovi{\'c} and Dirk Roos},
  journal     = {Applied Soft Computing},
  title       = {Local {L}atin hypercube refinement for multi-objective design uncertainty optimization},
  year        = {2021},
  arxiv       = {2108.08890},
  doi         = {10.1016/j.asoc.2021.107807},
  pdf         = {https://www.sciencedirect.com/science/article/abs/pii/S1568494621007286},
}

• PhD thesis for using local LHS extension for both uncertainty quantification and optimization

@phdthesis{Bogoclu2022,
  title       = {Local {L}atin hypercube refinement for uncertainty quantification and optimization: {A}ccelerating the surrogate-based solutions using adaptive sampling},
  author      = {Bogoclu, Can},
  school      = {Ruhr-Universit\"{a}t Bochum},
  type         = {PhD thesis},
  year        = {2022},
  doi         = {10.13154/294-9143},
  pdf         = {https://d-nb.info/1268193348/34},
}