Research on Linear Time Detector Generating Algorithm based on Negative Selection Model

摘要：

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.

关键词： negative selection model detector set probability of missed detection

作者: JIANG Hua WANG Xin FAN XiaoFeng

作者单位: School of computer and control of Computer Science, Guilin University of Electronic Technology, Guil School of computer and control of Computer Science, Guilin University of Electronic Technology, Guil

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 3058-3061

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）