DocumentCode
2211737
Title
Tree-RNSA: A Negative Selection Algorithm Based on Self Index Tree
Author
Chen, Wen ; Li, Tao ; Shi, Yuanquan ; Fu, Yanming
Author_Institution
Dept. of Comput. Sci., Sichuan Univ., Chengdu, China
fYear
2010
fDate
7-8 Aug. 2010
Firstpage
79
Lastpage
82
Abstract
As traditional negative selection algorithms need to calculate the distances between initial detectors and all the self data, the efficiencies of them are too low. In this article, before the creation process of detectors, the self data is pretreated to be a SS-Tree, and then the negative selection process is transformed into the data query process in the self SS-Tree to improve the efficiency of detectors creation.
Keywords
artificial immune systems; trees (mathematics); artificial immune; negative selection algorithm; self index tree; tree-RNSA; SS-Tree; artificial immune; detector; negative selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Communications (Mediacom), 2010 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-4136-5
Type
conf
DOI
10.1109/MEDIACOM.2010.9
Filename
5694148
Link To Document