A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization

Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi. A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. In IEEE Congress on Evolutionary Computation, CEC 2019, Wellington, New Zealand, June 10-13, 2019. pages 2018-2025, IEEE, 2019. [doi]

@inproceedings{WanHCSCI19,
  title = {A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization},
  author = {Kanzhen Wan and Cheng He and Auraham Camacho and Ke Shang and Ran Cheng and Hisao Ishibuchi},
  year = {2019},
  doi = {10.1109/CEC.2019.8789913},
  url = {https://doi.org/10.1109/CEC.2019.8789913},
  researchr = {https://researchr.org/publication/WanHCSCI19},
  cites = {0},
  citedby = {0},
  pages = {2018-2025},
  booktitle = {IEEE Congress on Evolutionary Computation, CEC 2019, Wellington, New Zealand, June 10-13, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-2153-6},
}