Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem

Erick Lara-Cárdenas, Arturo Silva-Gálvez, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín. Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem. In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020. pages 3133-3140, IEEE, 2020. [doi]

@inproceedings{Lara-CardenasSO20,
  title = {Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem},
  author = {Erick Lara-Cárdenas and Arturo Silva-Gálvez and José Carlos Ortiz-Bayliss and Iván Amaya and Jorge M. Cruz-Duarte and Hugo Terashima-Marín},
  year = {2020},
  doi = {10.1109/SSCI47803.2020.9308131},
  url = {https://doi.org/10.1109/SSCI47803.2020.9308131},
  researchr = {https://researchr.org/publication/Lara-CardenasSO20},
  cites = {0},
  citedby = {0},
  pages = {3133-3140},
  booktitle = {2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-2547-3},
}