An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems

Puyu Jiang, Yuansheng Cheng, Jiaxiang Yi, Jun Liu 0039. An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems. Inf. Sci., 569:728-745, 2021. [doi]

@article{JiangCYL21,
  title = {An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems},
  author = {Puyu Jiang and Yuansheng Cheng and Jiaxiang Yi and Jun Liu 0039},
  year = {2021},
  doi = {10.1016/j.ins.2021.05.015},
  url = {https://doi.org/10.1016/j.ins.2021.05.015},
  researchr = {https://researchr.org/publication/JiangCYL21},
  cites = {0},
  citedby = {0},
  journal = {Inf. Sci.},
  volume = {569},
  pages = {728-745},
}