一个自体变异免疫检测器生成算法

人工免疫系统作为一种计算智能方法,具备强大的信息处理和问题求解能力,检测器集的生成是构造人工免疫系统的关键技术,也是智能计算研究的热点之一。分析了传统免疫检测器生成算法,引入自体变异机制,结合空位模板技术,提出了一个自体变异的检测器生成算法。介绍了算法原理,描述了算法模板定义和实现步骤,分析了算法的性能和复杂性。理论分析与试验结果表明,该算法可以有效降低检测器集规模,提高检测器集的检测概率。

Immune Detector Generating Algorithm Based on Self-mutation

As a novel branch of computational intelligence,artificial immune system has strong capabilities of information processing and problem-solving paradigm.The detector generation is the key technology in constructing artificial immune system and has been the research hotspot in computational intelligence.This paper analysed the traditional detector generating algorithm.Based on self-mutation mechanism and bland template technology,a self-mutation detector generating algorithm (SMDGA) was proposed.The principle...