PCAGA: Principal component analysis based genetic algorithm for solving conditional nonlinear optimal perturbation. Mu, B.; Zhang, L.; Yuan, S.; and Li, H. In IJCNN, pages 1-8, 2015. IEEE.
PCAGA: Principal component analysis based genetic algorithm for solving conditional nonlinear optimal perturbation. [link]Link  PCAGA: Principal component analysis based genetic algorithm for solving conditional nonlinear optimal perturbation. [link]Paper  bibtex   
@inproceedings{conf/ijcnn/MuZYL15,
  added-at = {2015-10-07T00:00:00.000+0200},
  author = {Mu, Bin and Zhang, Linlin and Yuan, Shijin and Li, Hongyu},
  biburl = {http://www.bibsonomy.org/bibtex/286d805f43604ceb20bbf7322c79ab34d/dblp},
  booktitle = {IJCNN},
  crossref = {conf/ijcnn/2015},
  ee = {http://dx.doi.org/10.1109/IJCNN.2015.7280522},
  interhash = {fe987338732ebcae5392f7cb6a07b46f},
  intrahash = {86d805f43604ceb20bbf7322c79ab34d},
  isbn = {978-1-4799-1960-4},
  keywords = {dblp},
  pages = {1-8},
  publisher = {IEEE},
  timestamp = {2015-10-08T11:33:46.000+0200},
  title = {PCAGA: Principal component analysis based genetic algorithm for solving conditional nonlinear optimal perturbation.},
  url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2015.html#MuZYL15},
  year = 2015
}
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