A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling

Amer T. Saeed, Gang Chen 0002, Hui Ma 0001, Qiang Fu 0011. A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling. In João Correia, Stephen L. Smith 0002, Raneem Qaddoura, editors, Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings. Volume 13989 of Lecture Notes in Computer Science, pages 556-572, Springer, 2013. [doi]

@inproceedings{SaeedCMF13,
  title = {A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling},
  author = {Amer T. Saeed and Gang Chen 0002 and Hui Ma 0001 and Qiang Fu 0011},
  year = {2013},
  doi = {10.1007/978-3-031-30229-9_36},
  url = {https://doi.org/10.1007/978-3-031-30229-9_36},
  researchr = {https://researchr.org/publication/SaeedCMF13},
  cites = {0},
  citedby = {0},
  pages = {556-572},
  booktitle = {Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings},
  editor = {João Correia and Stephen L. Smith 0002 and Raneem Qaddoura},
  volume = {13989},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-30229-9},
}