Significant Level in V-detector Generation Algorithm

The V-detector generation algorithm is a kind of negative selection algorithm (NSA) inspired by biological immune system (BIS). In this paper, V-detector generation algorithm is simply introduced. The problem that V-detector generation algorithm can not meet the change of parameters in significant level is also pointed out. This problem will cause instable algorithm performance. In the meantime, it will cause the algorithm failed under the circumstance of some parameter values. This paper analyzed the reason that caused the problem theoretically and the relevant solution is proposed. The experiment results showed that the proposed solution solved the problem existed in original algorithm successfully and make the performance more stable and reliable. The improved algorithm can really adapt to different values of significant level and obtain better detection performance.