摘要
详细分析了人工免疫算法(AIA)基于信息熵计算抗体浓度存在的缺点,提出了三种新的浓度计算方法。分析了基于新的浓度计算方法的各种改进的人工免疫算法的收敛性。对两种变形大海捞针类函数的优化结果表明,改进的人工免疫算法较传统的人工免疫算法有较大的优越性。
The paper studies carefully the Artificial Immune Algorithm(AIA) based on informative entropy and its two main drawbacks,and proposes three new methods of calculation of antibody's concentration/Then three modified artificial immune algorithms are proposed based on the new methods of calculation of antibody's concentration,and the convergence of the modified artificial immune algorithms is studied.Finally.two experiments are conducted using two modified Needle-in-a-haystack functions.The experiments show that the modified Artificial Immune Algorithms have great efficiency over AIA.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第34期35-37,共3页
Computer Engineering and Applications
基金
广东省科技厅工业攻关项目(编号:c10909)
关键词
人工免疫算法
信息熵
抗体相似度
抗体浓度
Artificial Immune Algorithm,Informative Entropy,Similarity of Antibodies,Concentration of antibody
