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一种人工免疫系统改进算法的仿真研究
引用本文:高经纬,张培林,姜乐华,任国全.一种人工免疫系统改进算法的仿真研究[J].军械工程学院学报,2009,21(3):63-67.
作者姓名:高经纬  张培林  姜乐华  任国全
作者单位:国防科学技术大学指挥军官基础教育学院;军械工程学院火炮工程系;
基金项目:国家自然科学基金资助(50705097)
摘    要:针对人工免疫系统在处理多维向量分类时存在的初始抗体数量“爆炸”问题,对人工免疫系统的反向选择算法进行改进,研究了初始抗体的生成机理,并在初始抗体的生成条件中加入新的约束,降低了人工免疫系统所需的初始抗体数量,解决了多维向量的分类问题,在实际应用中有着很强的推广应用价值。

关 键 词:人工免疫系统  反向选择算法  算法改进  初始检测器

A New Artificial Immune System Improved Algorithm
GAO Jing-wei,ZHANG Pei-lin,JIANG Le-hua,REN Guo-quan.A New Artificial Immune System Improved Algorithm[J].Journal of Ordnance Engineering College,2009,21(3):63-67.
Authors:GAO Jing-wei  ZHANG Pei-lin  JIANG Le-hua  REN Guo-quan
Institution:1.College of Basic Education for Commanding Officers;National University of Defense Technology;Changsha 410073;China;2.Department of Artillery Engineering;Ordnance Engineering College;Shijiazhuang 050003;China
Abstract:Artificial immune system is a new computational intelligence approach which uses ideas gleaned from immunology and has advantages in performing a wide range of tasks in various areas of research.However,the immune negative algorithm would cause a large number of the antibodies solving multi-dimension data classification.Then in this paper,the immune negative algorithm was improved and will be applied in the multi-dimension data classification.The results prove that the improved algorithm can solve the probl...
Keywords:artificial immune system  negative algorithm  algorithm improvement  initial antibodies  
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