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.
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
}