Dynamic Seed Genetic Algorithm to Solve Job Shop Scheduling Problems

Flávio Grassi, Pedro Henrique Triguis Schimit, Fábio Henrique Pereira. Dynamic Seed Genetic Algorithm to Solve Job Shop Scheduling Problems. In Irenilza de Alencar Nääs, Oduvaldo Vendrametto, João Gilberto Mendes dos Reis, Rodrigo Franco Gonçalves, Márcia Terra da Silva, Gregor von Cieminski, Dimitris Kiritsis, editors, Advances in Production Management Systems. Initiatives for a Sustainable World - IFIP WG 5.7 International Conference, APMS 2016, Iguassu Falls, Brazil, September 3-7, 2016, Revised Selected Papers. Volume 488 of IFIP Advances in Information and Communication Technology, pages 170-177, Springer, 2016. [doi]

@inproceedings{GrassiSP16,
  title = {Dynamic Seed Genetic Algorithm to Solve Job Shop Scheduling Problems},
  author = {Flávio Grassi and Pedro Henrique Triguis Schimit and Fábio Henrique Pereira},
  year = {2016},
  doi = {10.1007/978-3-319-51133-7_21},
  url = {http://dx.doi.org/10.1007/978-3-319-51133-7_21},
  researchr = {https://researchr.org/publication/GrassiSP16},
  cites = {0},
  citedby = {0},
  pages = {170-177},
  booktitle = {Advances in Production Management Systems. Initiatives for a Sustainable World - IFIP WG 5.7 International Conference, APMS 2016, Iguassu Falls, Brazil, September 3-7, 2016, Revised Selected Papers},
  editor = {Irenilza de Alencar Nääs and Oduvaldo Vendrametto and João Gilberto Mendes dos Reis and Rodrigo Franco Gonçalves and Márcia Terra da Silva and Gregor von Cieminski and Dimitris Kiritsis},
  volume = {488},
  series = {IFIP Advances in Information and Communication Technology},
  publisher = {Springer},
  isbn = {978-3-319-51132-0},
}