Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems

Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin. Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems. In Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-Ghazali Talbi, editors, High-Performance Simulation-Based Optimization. Volume 833 of Studies in Computational Intelligence, pages 189-224, Springer, 2020. [doi]

@incollection{PelamattiBBTG20,
  title = {Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems},
  author = {Julien Pelamatti and Loïc Brevault and Mathieu Balesdent and El-Ghazali Talbi and Yannick Guerin},
  year = {2020},
  doi = {10.1007/978-3-030-18764-4_9},
  url = {https://doi.org/10.1007/978-3-030-18764-4_9},
  researchr = {https://researchr.org/publication/PelamattiBBTG20},
  cites = {0},
  citedby = {0},
  pages = {189-224},
  booktitle = {High-Performance Simulation-Based Optimization},
  editor = {Thomas Bartz-Beielstein and Bogdan Filipic and Peter Korosec and El-Ghazali Talbi},
  volume = {833},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-030-18764-4},
}