计算机科学 ›› 2010, Vol. 37 ›› Issue (3): 133-137.

• 计算机网络与信息安全 • 上一篇    下一篇

一个自体变异免疫检测器生成算法

陈喆,周雁舟,吕志国   

  1. (解放军信息工程大学电子技术学院 郑州450004)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国防预研基金项目(9140A16040206JB5203)资助。

Immune Detector Generating Algorithm Based on Self-mutation

CHEN Zhe,ZHOU Yan-zhou,LU Zhi-guo   

  • Online:2018-12-01 Published:2018-12-01

摘要: 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。

关键词: 人工免疫系统,检测器,检测器生成算法,自体变异

Abstract: As a novel branch of computational intelligence, artificial immune system has strong capabilities of informalion processing and problem-solving paradigm. hhe 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 delector generating algorithm Based on self-mutation mechanism and bland template technology, a self-mutation detector generating algorithm(SMDGA) was proposed.The principle, template definition and implementation steps of the SMDGA were described, and the performance and complexity of the SMDGA were analyzed. Both mathematical analysis and experiments show that SMDGA has the advantages in reducing the size of detector set and improving detecting efficicncy.

Key words: Artificial immune system,Detector,Detector generating algorithm,Self mutation

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