A Hybrid Optimization Method of Multi-objective Genetic Algorithm (MOGA) and K-Nearest Neighbor (KNN) Classifier for Hydrological Model Calibration

Yang Liu, Soon-Thiam Khu, Dragan A. Savic. A Hybrid Optimization Method of Multi-objective Genetic Algorithm (MOGA) and K-Nearest Neighbor (KNN) Classifier for Hydrological Model Calibration. In Zheng Rong Yang, Richard M. Everson, Hujun Yin, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings. Volume 3177 of Lecture Notes in Computer Science, pages 546-551, Springer, 2004. [doi]

@inproceedings{LiuKS04,
  title = {A Hybrid Optimization Method of Multi-objective Genetic Algorithm (MOGA) and K-Nearest Neighbor (KNN) Classifier for Hydrological Model Calibration},
  author = {Yang Liu and Soon-Thiam Khu and Dragan A. Savic},
  year = {2004},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3177&spage=546},
  tags = {optimization},
  researchr = {https://researchr.org/publication/LiuKS04},
  cites = {0},
  citedby = {0},
  pages = {546-551},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings},
  editor = {Zheng Rong Yang and Richard M. Everson and Hujun Yin},
  volume = {3177},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-22881-0},
}