An effective hybrid meta-heuristic for a heterogeneous flow shop scheduling problem

Matheus de Freitas Araujo, José Elias C. Arroyo, Ricardo G. Tavares. An effective hybrid meta-heuristic for a heterogeneous flow shop scheduling problem. In Hernán E. Aguirre, Keiki Takadama, editors, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. pages 245-252, ACM, 2018. [doi]

@inproceedings{AraujoAT18,
  title = {An effective hybrid meta-heuristic for a heterogeneous flow shop scheduling problem},
  author = {Matheus de Freitas Araujo and José Elias C. Arroyo and Ricardo G. Tavares},
  year = {2018},
  doi = {10.1145/3205455.3205614},
  url = {http://doi.acm.org/10.1145/3205455.3205614},
  researchr = {https://researchr.org/publication/AraujoAT18},
  cites = {0},
  citedby = {0},
  pages = {245-252},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018},
  editor = {Hernán E. Aguirre and Keiki Takadama},
  publisher = {ACM},
}