【摘要】 人工免疫系统是一个相对新的研究领域。人类免疫系统的生物模型,特别是克隆选择理论、免疫网络理论、否定选择理论和危险理论,已经被抽象成相应的算法并被成功地应用到各个工程领域。尽管这些算法成功解决相关的工程问题,但是,到目前为止,理论研究并没有取得进展。本文首先讨论了人工免疫系统的生物学基础,然后给出了克隆选择、否定选择和免疫网络三种AIS算法,并详细地对它们进行了理论分析。更多还原

【Abstract】 Artificial immune systems(AIS) constitute a relatively new area of bio-inspired computing.Biological models of the natural immune system,in particular the theories of clonal selection,immune networks and negative selection,have provided the inspiration for AIS algorithms.Moreover,such algorithms have been successfully employed in a wide variety of different application areas.However,despite these practical successes,until recently there has been a dearth of theory to justify their use.In this paper,the existing theoretical work on AIS is reviewed.After the presentation of a simple example of each of the three main types of AIS algorithm,details of thetheoretical analysis for each of these types are given.更多还原