An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem

Sarra Zohra Ahmed Bacha, Fatima Benbouzid-Si Tayeb, Karima Benatchba. An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem. In George A. Tsihrintzis, Carlos Toro 0001, Sebastián A. Ríos, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, Athens, Greece, 6-8 September 2023. Volume 225 of Procedia Computer Science, pages 3958-3966, Elsevier, 2023. [doi]

@inproceedings{BachaTB23,
  title = {An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem},
  author = {Sarra Zohra Ahmed Bacha and Fatima Benbouzid-Si Tayeb and Karima Benatchba},
  year = {2023},
  doi = {10.1016/j.procs.2023.10.391},
  url = {https://doi.org/10.1016/j.procs.2023.10.391},
  researchr = {https://researchr.org/publication/BachaTB23},
  cites = {0},
  citedby = {0},
  pages = {3958-3966},
  booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, Athens, Greece, 6-8 September 2023},
  editor = {George A. Tsihrintzis and Carlos Toro 0001 and Sebastián A. Ríos and Robert J. Howlett and Lakhmi C. Jain},
  volume = {225},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}