Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts

Renzhi Chen, Ke Li 0001. Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. In Michael Emmerich, André H. Deutz, Hao Wang 0025, Anna V. Kononova, Boris Naujoks, Ke Li 0001, Kaisa Miettinen, Iryna Yevseyeva, editors, Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings. Volume 13970 of Lecture Notes in Computer Science, pages 56-70, Springer, 2023. [doi]

@inproceedings{ChenL23-9,
  title = {Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts},
  author = {Renzhi Chen and Ke Li 0001},
  year = {2023},
  doi = {10.1007/978-3-031-27250-9_5},
  url = {https://doi.org/10.1007/978-3-031-27250-9_5},
  researchr = {https://researchr.org/publication/ChenL23-9},
  cites = {0},
  citedby = {0},
  pages = {56-70},
  booktitle = {Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings},
  editor = {Michael Emmerich and André H. Deutz and Hao Wang 0025 and Anna V. Kononova and Boris Naujoks and Ke Li 0001 and Kaisa Miettinen and Iryna Yevseyeva},
  volume = {13970},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-27250-9},
}