摘要
生物免疫系统的多样性、适应性及免疫记忆等特性正越来越引起人们的关注 .目前已提出了一些基于免疫概念的优化算法 .本文详细地讨论了多种基于免疫概念的优化算法 ,指出这些方法是免疫信息机理与遗传算法 (GA)相结合的产物 ,最后提出了免疫优化算法的发展前景 .
The diversity, adaptation and memory of the biological immune system are getting more interesting for the researchers. Several optimal algorithms based on immune system have been proposed. This paper discusses some immune-based optimization algorithms in detail. It points out that these methods are the combination of immune system information processing mechanism and genetic algorithm (GA). Finally some possible future research topics are proposed.
出处
《信息与控制》
CSCD
北大核心
2002年第5期385-390,共6页
Information and Control
关键词
免疫优化算法
免疫系统
多样性
免疫进化
遗传算法
immune system, optimization algorithm, diversity, immune evolution, genetic algorithm
