• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (10): 35-37.

• 论文 • 上一篇    下一篇

免疫克隆算法参数的均匀设计

高尚[1,2] 陈建忠[3]   

  • 出版日期:2007-10-01 发布日期:2010-06-02

  • Online:2007-10-01 Published:2010-06-02

摘要:

人工免疫系统是基于生物免疫系统特性而发展的新兴智能系统,本文介绍了人工免疫系统中的克隆选择原理。免疫克隆算法的参数设置通常是依靠经验和试验来确定,造成试验工作量大且难以得到最优的参数组合,影响了算法的使用。通过将免疫算法基本模型的参数设定问题描述成均匀设计中多因素、多水平的试验设计,从而能够用较少的试验很快  快设定算法参数的取值。仿真试验表明了该方法的可行性和有效性。

关键词: 免疫算法 克隆选择 均匀设计 参数

Abstract:

An artificial immune system is a novel intelligent system based on the characteristics of biological immune systems. The clonal selection principle in artificial immune systems is introduced. In general the parameters of an immune clonal algorithm are determined by experience and experiments. This lea  ds to heavy work load and makes the optimal combination of the parameters difficult to obtain. A uniform design method is used to convert the problem of parameter establishment into the experimental design of multiple factors and multiple levels, and   lues based on less experiments. The method applied to the benchmark problems shows good performance feasibility and effectiveness.

Key words: (immune algorithrn, clonal selection, uniform design, parameter)