An adaptive multi-population genetic algorithm to solve the multi-objective group scheduling problem in hybrid flexible flowshop with sequence-dependent setup times

M. Zandieh, Neda Karimi. An adaptive multi-population genetic algorithm to solve the multi-objective group scheduling problem in hybrid flexible flowshop with sequence-dependent setup times. J. Intelligent Manufacturing, 22(6):979-989, 2011. [doi]

@article{ZandiehK11,
  title = {An adaptive multi-population genetic algorithm to solve the multi-objective group scheduling problem in hybrid flexible flowshop with sequence-dependent setup times},
  author = {M. Zandieh and Neda Karimi},
  year = {2011},
  doi = {10.1007/s10845-009-0374-7},
  url = {http://dx.doi.org/10.1007/s10845-009-0374-7},
  researchr = {https://researchr.org/publication/ZandiehK11},
  cites = {0},
  citedby = {0},
  journal = {J. Intelligent Manufacturing},
  volume = {22},
  number = {6},
  pages = {979-989},
}