Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem

Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan, Patrick De Causmaecker. Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem. In Roberto Battiti, Mauro Brunato, Ilias Kotsireas, Panos M. Pardalos, editors, Learning and Intelligent Optimization - 12th International Conference, LION 12, Kalamata, Greece, June 10-15, 2018, Revised Selected Papers. Volume 11353 of Lecture Notes in Computer Science, pages 241-256, Springer, 2018. [doi]

@inproceedings{BlotKJC18,
  title = {Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem},
  author = {Aymeric Blot and Marie-Eléonore Kessaci and Laetitia Jourdan and Patrick De Causmaecker},
  year = {2018},
  doi = {10.1007/978-3-030-05348-2_22},
  url = {https://doi.org/10.1007/978-3-030-05348-2_22},
  researchr = {https://researchr.org/publication/BlotKJC18},
  cites = {0},
  citedby = {0},
  pages = {241-256},
  booktitle = {Learning and Intelligent Optimization - 12th International Conference, LION 12, Kalamata, Greece, June 10-15, 2018, Revised Selected Papers},
  editor = {Roberto Battiti and Mauro Brunato and Ilias Kotsireas and Panos M. Pardalos},
  volume = {11353},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-05348-2},
}