摘要
免疫算法是一种新型的导向性随机启发式搜索算法,文章在简单介绍免疫算法基本原理及操作步骤的基础上,针对几个关键参数和操作算子对算法性能的影响进行探讨。提出根据具体的问题,结合各种形式免疫算法,建立一个自适应分层免疫算法。实验表明:自适应分层免疫算法能结合各底层免疫算法的优点,具有收敛速度快、寻解能力强等优点。
Immune algorithm is a stochastic heuristic optimization algorithm.After introducing basic principle and operat-ing step of immune algorithm,this paper discusses the effect of these parameters and operation process at the perfor-mances of immune algorithm.According to the problem,this paper founds a self-adaptive hierarchic immune algorithm which combines all kinds of immune algorithms.Simulation experiments present which the self-adaptive hierarchic im-mune algorithm combines strongpoint of all substrate immune algorithm,and the self-adaptive hierarchic immune algo-rithm presents good constringency speed and has a good ability of seeking key,and so on.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第24期4-6,34,共4页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:69934030)
广东省自然科学基金资助项目(编号:011629)
关键词
免疫系统
免疫算法
分层免疫算法
immune system,immune algorithm,hierarchic immune algorithm