【摘要】 论文针对人工免疫系统(AIS)需要解决的两个关键问题:抗原的海量和识别器的群体有效性,借鉴生物学中染色体的特性,利用有限的特征片断来表示网络中复杂多样的被检测对象,提出了基于染色体的人工免疫识别器模型。通过进一步分析用遗传算法搜索染色体识别器的多目标优化问题,介绍了染色体识别器的群体有效性。更多还原

【Abstract】 The Artificial Immune System(AIS)needs solving two key problems ,which are the huge quantity of antigen and the group validity of immune detector.Aimming at these two problems ,this paper proposes a Artificial Immune detector model of chromosome-based by referring to the characteristic of chromosome in the biology and using the limited characteristic fragments to present the complicated detected objects in the network.After further analyzing the multi-objective optimization of searching detector by using the genetic algorithm,this paper introduces the group validity of chromosome detection model.更多还原