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基于生物免疫系统克隆选择机理和免疫网络理论的免疫算法
引用本文:位耀光,郑德玲,付冬梅,周颖.基于生物免疫系统克隆选择机理和免疫网络理论的免疫算法[J].北京科技大学学报,2005,27(2):245-249.
作者姓名:位耀光  郑德玲  付冬梅  周颖
作者单位:北京科技大学信息工程学院,北京,100083
基金项目:高等学校博士学科点专项科研项目
摘    要:提出一种基于生物免疫系统克隆选择机理和免疫网络理论的免疫算法.该算法通过抗体的克隆选择和变异过程,完成对入侵抗原的清除,实现免疫防御的功能;利用免疫网络调节的思想选择抗体记忆细胞,完成知识的学习和积累,实现免疫自稳的功能;利用所建立的抗体记忆矩阵实现对类似入侵抗原的快速应答,行使免疫监视识别功能.该算法利用生物变异机制实现抗体的自适应调节,使系统具有自适应、自学习能力.在加热炉状态识别的应用研究表明,本文所提出的算法在解决数据识别方面具有较好的效果.

关 键 词:人工免疫  克隆选择  自适应  模式识别  生物免疫  系统克隆  选择机理  网络理论  免疫算法  theory  network  immune  algorithm  clone  selection  biological  based  效果  数据识别  研究  应用  状态识别  加热炉  能力  自学习  自适应
修稿时间:2004年4月20日

Artificial immune algorithm based on biological immune clone selection and immune network theory
WEI Yaoguang,ZHENG Deling,Fu Dongmei,ZHOU Ying.Artificial immune algorithm based on biological immune clone selection and immune network theory[J].Journal of University of Science and Technology Beijing,2005,27(2):245-249.
Authors:WEI Yaoguang  ZHENG Deling  Fu Dongmei  ZHOU Ying
Abstract:The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory. The algorithm eliminates antigen by clone selection and mutation, accumulates knowledge by selection of antibody memory cells which inspired by the immune network theory, and realizes immune homeostasis. The function of antibody memory cells is immune surveillance. The self-adaptation of antibody is realized by the immune mutation mechanism, which makes the algorithm self-learning and self-adaptive. The results of an application study on the pattern recognition of heat furnaces shows that the algorithm has good abilities of pattern recognition and data compress.
Keywords:artificial immune  clone selection  self-adaptation  pattern recognition
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