Boundary-aware detector generation mechanism of negative selection algorithm
否定选择算法中一种改进的检测器集生成机制

In order to improve the detection rate of negative selection algorithm,proposed an improved detectors generation method. It aimed at solving the boundary dilemma problem.Regard the self and its neighboring as self regions.Given detailed realization and advantages of the algorithm.The experiments of synthetic and real data sets(iris data set and biomedical data set) results show that the algorithm has higher detection rate, especially for the points in the boundary of self and nonself.So it has better performance.