Tree-RNSA: A Negative Selection Algorithm Based on Self Index Tree

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.