A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems

Michael H. Prince, Kristian DeHaan, Daniel R. Tauritz. A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems. In Pedro A. Castillo, Juan Luis Jiménez Laredo, editors, Applications of Evolutionary Computation - 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings. Volume 12694 of Lecture Notes in Computer Science, pages 97-112, Springer, 2021. [doi]

@inproceedings{PrinceDT21,
  title = {A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems},
  author = {Michael H. Prince and Kristian DeHaan and Daniel R. Tauritz},
  year = {2021},
  doi = {10.1007/978-3-030-72699-7_7},
  url = {https://doi.org/10.1007/978-3-030-72699-7_7},
  researchr = {https://researchr.org/publication/PrinceDT21},
  cites = {0},
  citedby = {0},
  pages = {97-112},
  booktitle = {Applications of Evolutionary Computation - 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings},
  editor = {Pedro A. Castillo and Juan Luis Jiménez Laredo},
  volume = {12694},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-72699-7},
}