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基于疫苗算子和柯西变异的克隆选择算法改进

张凤斌 王超 杨泽

计算机工程与应用2017,Vol.53Issue(1):118-123,6.
计算机工程与应用2017,Vol.53Issue(1):118-123,6.DOI:10.3778/j.issn.1002-8331.1503-0133

基于疫苗算子和柯西变异的克隆选择算法改进

Clonal selection algorithm based on vaccination and Cauchy mutation

张凤斌 1王超 1杨泽1

作者信息

  • 1. 哈尔滨理工大学 计算机科学与技术学院,哈尔滨 150080
  • 折叠

摘要

Abstract

In the network intrusion detection system, clonal selection algorithm converges too slowly, and there is degra-dation in the process of mutation. Combining vaccination technology in biological systems and Cauchy mutation can gen-erate greater range of random numbers, improve these two shortcomings about clonal selection algorithm respectively. Ex-periments show that the improved algorithm significantly accelerates the convergence rate and improve the detection rate.

关键词

网络入侵检测/克隆选择算法/疫苗接种/柯西变异/疫苗库

Key words

network intrusion detection/clonal selection algorithm/vaccination/Cauchy mutation/vaccine library

分类

信息技术与安全科学

引用本文复制引用

张凤斌,王超,杨泽..基于疫苗算子和柯西变异的克隆选择算法改进[J].计算机工程与应用,2017,53(1):118-123,6.

基金项目

国家自然科学基金(No.61172168)。 ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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