RT-RNSA: A new negative selection algorithm
In this article,we present a negative selection algorithm based on the self R-tree index strucutre.In the pretreatment process,the self data is organized as a R-Tree structure,and then the negative selection process could be transformed into the data query process in the self R-Tree,if a new detector is indexed in any leaf node it will be dropped.As the time complexity of data query process in the tree is in the log level,the negative selection process of our algorithm is superior to the linearly comparation procedure in the traditional negative selection algorithms.
artificial inunune immune detector negative selection R-Tree
Wang Kunpeng Wang Shubin Yang Tao
China West Normal University Library China West Normal University Nanchong,China Experiment Center China West Normal University Nanchong,China
国际会议
秦皇岛
英文
283-286
2010-11-05(万方平台首次上网日期,不代表论文的发表时间)