A Framework for Multi-fidelity Modeling in Global Optimization Approaches

Zelda B. Zabinsky, Giulia Pedrielli, Hao Huang. A Framework for Multi-fidelity Modeling in Global Optimization Approaches. In Giuseppe Nicosia, Panos M. Pardalos, Renato Umeton, Giovanni Giuffrida, Vincenzo Sciacca, editors, Machine Learning, Optimization, and Data Science - 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings. Volume 11943 of Lecture Notes in Computer Science, pages 335-346, Springer, 2019. [doi]

@inproceedings{ZabinskyPH19,
  title = {A Framework for Multi-fidelity Modeling in Global Optimization Approaches},
  author = {Zelda B. Zabinsky and Giulia Pedrielli and Hao Huang},
  year = {2019},
  doi = {10.1007/978-3-030-37599-7_28},
  url = {https://doi.org/10.1007/978-3-030-37599-7_28},
  researchr = {https://researchr.org/publication/ZabinskyPH19},
  cites = {0},
  citedby = {0},
  pages = {335-346},
  booktitle = {Machine Learning, Optimization, and Data Science - 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings},
  editor = {Giuseppe Nicosia and Panos M. Pardalos and Renato Umeton and Giovanni Giuffrida and Vincenzo Sciacca},
  volume = {11943},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-37599-7},
}