Research on linear time detector generating algorithm based on negative selection model

According to negative selection model in artificial immune system, the paper mainly studies and improves initial linear time detector set generating algorithm. The algorithm constructs two arrays C and C´ from two directions, then produces array D by cross product so that the detector can match more Nonself strings, and removes redundant detectors, reduces detector set scale, improves its method of design, performance analysis and testing. The results show that the improved algorithm reduces detector scale and probability of missed detection.