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基于PMC模型的高效人工免疫诊断算法

闫少华 樊建席

计算机应用与软件2012,Vol.29Issue(4):27-30,48,5.
计算机应用与软件2012,Vol.29Issue(4):27-30,48,5.

基于PMC模型的高效人工免疫诊断算法

A PMC MODEL BASED EFFICIENT ARTIFICIAL IMMUNE DIAGNOSIS ALGORITHM

闫少华 1樊建席1

作者信息

  • 1. 苏州大学计算机科学与技术学院 江苏苏州215006
  • 折叠

摘要

Abstract

Diagnosis algorithm is an important research subject in system-level diagnosis. Reference document [10] proposed an artificial immune diagnosis algorithm under PMC model, but failed to take full advantage of PMC model, whereas made a hypothesis in the computing affinity. Therefore the paper firstly optimises the quality of initial population by utilizing PMC model characteristics; then defines the optimized affinity function; at last proposes a new algorithm process. The algorithm is validated for correctness and convergence. Simulation experiment shows it it superior to the original algorithm at both CPU time and iteration times.

关键词

并行计算系统/系统级故障诊断/诊断算法/PMC诊断模型/人工免疫算法

Key words

Parallel computing system System-level diagnosis Diagnosis algorithm PMC diagnostic model Artificial immune algorithm

分类

信息技术与安全科学

引用本文复制引用

闫少华,樊建席..基于PMC模型的高效人工免疫诊断算法[J].计算机应用与软件,2012,29(4):27-30,48,5.

基金项目

国家自然科学基金项目(60873047) (60873047)

江苏省自然科学基金项目(BK2008154). (BK2008154)

计算机应用与软件

OA北大核心CSCDCSTPCD

1000-386X

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