摘要
生物免疫系统是一种高度并行的自适应信息学习系统,它能自适应地识别和排除侵入机体的抗原性异物,并且具有学习、记忆和自适应调节能力,能够维护机体内环境的稳定。在对生物免疫系统的一些基本概念和原理进行介绍的基础上,简单分析了人工免疫算法的研究内容、研究现状及基本理论。重点对现已被提出的一些免疫算法的基本结构和流程进行了研究和分析。最后对免疫算法的应用领域和前景进行了展望。
Biological immune system is a highly parallel adaptive information learning system, which can identify and remove the antigenic iso -matter invading the body. This system can learn, remember and adjust adaptively to keep the stabilization inside the body. In this paper, some basic concepts, framework, functions and principles of the biological immune system are introduced. Along with, the research range, research status and basic theory of the artificial immune algorithm are simply analyzed. Finally some prospects of immune algorithm are put forward on development and future application.
出处
《沈阳航空工业学院学报》
2005年第5期82-85,共4页
Journal of Shenyang Institute of Aeronautical Engineering
关键词
免疫算法
免疫系统
免疫遗传算法
Immune algorithm
Immune system
Immune genetic algorithm
