On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem

Jens Czogalla, Andreas Fink. On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem. In Fatos Xhafa, Ajith Abraham, editors, Metaheuristics for Scheduling in Industrial and Manufacturing Applications. Volume 128 of Studies in Computational Intelligence, pages 61-89, Springer, 2008. [doi]

@incollection{CzogallaF08,
  title = {On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem},
  author = {Jens Czogalla and Andreas Fink},
  year = {2008},
  doi = {10.1007/978-3-540-78985-7_3},
  url = {http://dx.doi.org/10.1007/978-3-540-78985-7_3},
  tags = {optimization, data-flow},
  researchr = {https://researchr.org/publication/CzogallaF08},
  cites = {0},
  citedby = {0},
  pages = {61-89},
  booktitle = {Metaheuristics for Scheduling in Industrial and Manufacturing Applications},
  editor = {Fatos Xhafa and Ajith Abraham},
  volume = {128},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-540-78984-0},
}