Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems

Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay. Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems. In IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021. pages 1-8, IEEE, 2021. [doi]

@inproceedings{Cruz-DuarteAOP21-0,
  title = {Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems},
  author = {Jorge M. Cruz-Duarte and Iván Amaya and José Carlos Ortiz-Bayliss and Nelishia Pillay},
  year = {2021},
  doi = {10.1109/SSCI50451.2021.9659917},
  url = {https://doi.org/10.1109/SSCI50451.2021.9659917},
  researchr = {https://researchr.org/publication/Cruz-DuarteAOP21-0},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-9048-8},
}