A New Genetic Improvement Operator Based on Frequency Analysis for Genetic Algorithms Applied to Job Shop Scheduling Problem

Monique Simplicio Viana, Rodrigo Colnago Contreras, Orides Morandin Junior. A New Genetic Improvement Operator Based on Frequency Analysis for Genetic Algorithms Applied to Job Shop Scheduling Problem. In Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part I. Volume 12854 of Lecture Notes in Computer Science, pages 434-450, Springer, 2021. [doi]

@inproceedings{VianaCJ21,
  title = {A New Genetic Improvement Operator Based on Frequency Analysis for Genetic Algorithms Applied to Job Shop Scheduling Problem},
  author = {Monique Simplicio Viana and Rodrigo Colnago Contreras and Orides Morandin Junior},
  year = {2021},
  doi = {10.1007/978-3-030-87986-0_39},
  url = {https://doi.org/10.1007/978-3-030-87986-0_39},
  researchr = {https://researchr.org/publication/VianaCJ21},
  cites = {0},
  citedby = {0},
  pages = {434-450},
  booktitle = {Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part I},
  editor = {Leszek Rutkowski and Rafal Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M. Zurada},
  volume = {12854},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-87986-0},
}