Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization

Bing Wang, Hemant Kumar Singh, Tapabrata Ray. Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization. In Krzysztof Krawiec, editor, GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021. pages 211-212, ACM, 2021. [doi]

@inproceedings{WangSR21-0,
  title = {Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization},
  author = {Bing Wang and Hemant Kumar Singh and Tapabrata Ray},
  year = {2021},
  doi = {10.1145/3449726.3459466},
  url = {https://doi.org/10.1145/3449726.3459466},
  researchr = {https://researchr.org/publication/WangSR21-0},
  cites = {0},
  citedby = {0},
  pages = {211-212},
  booktitle = {GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021},
  editor = {Krzysztof Krawiec},
  publisher = {ACM},
  isbn = {978-1-4503-8351-6},
}