Optimiz ation of Real-valued Negative Selection Algorithm
WANG Yujue
QI Dening
Abstract：For the question of“black holes”and the redundancy in the traditional negative selection algorithm and V‐de‐tector algorithm ,this article proposes the optimization of the algorithm .In the detector generation phase ,the self data and mature detectors are tolerated by the candidate's detector at the same time ,the results of the comparision decide the radius in order to reduce the duplicated covering .In the mature detectors phase ,the completely covered detector is deleted through calculating ,which overcomes the question of “black holes” and the redundancy .At last ,it compares three algorithms through data of Iris .The experimental results show that the number of detectors reduces dramatically ,which is good for practical application .
Keywords：artificial immunenegative selection algorithmV-detector
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 59-61,134 )