Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem

Jia Luo, Didier El Baz, Jinglu Hu. Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem. In 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018, Busan, Korea (South), June 27-29, 2018. pages 117-122, IEEE Computer Society, 2018. [doi]

@inproceedings{LuoBH18,
  title = {Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem},
  author = {Jia Luo and Didier El Baz and Jinglu Hu},
  year = {2018},
  doi = {10.1109/SNPD.2018.8441112},
  url = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2018.8441112},
  researchr = {https://researchr.org/publication/LuoBH18},
  cites = {0},
  citedby = {0},
  pages = {117-122},
  booktitle = {19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018, Busan, Korea (South), June 27-29, 2018},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-5889-5},
}