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用于函数优化的改进免疫克隆多样性算法
引用本文:莫宏伟,金鸿章.用于函数优化的改进免疫克隆多样性算法[J].哈尔滨工程大学学报,2004,25(1):76-79.
作者姓名:莫宏伟  金鸿章
作者单位:哈尔滨工程大学,自动化学院,黑龙江,哈尔滨,150001;哈尔滨工程大学,自动化学院,黑龙江,哈尔滨,150001
基金项目:国家自然科学基金资助项目(60305007).
摘    要:免疫系统具有许多可以用于解决工程和科学问题的特性,人工免疫系统是基于免疫系统特性而发展的新兴智能系统.针对免疫算法的多样性,利用免疫系统克隆选择和克隆抑制机制,提出一种用于函数优化的改进免疫克隆多样性算法,以达到简化复杂系统函数算法的目的.多样性算法是一种基于免疫系统抗体多样性机制而开发的免疫算法,这里给出了改进的算法步骤,指出改进算法与原算法的主要区别以及所依据的免疫系统原理;文章还对算法的复杂性进行了分析,证明了改进免疫系统克隆多样性算法可以利用相对小的候选解群体解决复杂函数优化问题.

关 键 词:免疫系统  人工免疫系统  多样性算法  函数优化
文章编号:1006-7043(2004)01-0076-04
修稿时间:2003年4月14日

The modified immune diversity algorithm used in function optimization
MO Hong-wei,JIN Hong-zhang.The modified immune diversity algorithm used in function optimization[J].Journal of Harbin Engineering University,2004,25(1):76-79.
Authors:MO Hong-wei  JIN Hong-zhang
Abstract:The immune system has many characteristics to solve engineering and science problems.An artificial immune system is a novel intelligence system based on the characteristics of a real-life immune system.By using clone selection and clone suppression,the modified immune clone diversity algorithm in accordance with diversity,an algorithm used to solve the function optimization is presented to obtain a simplified algorithm for complex functions.The diversity algorithm is a developed algorithm based on the diversity of antibodies in the immune system.The concrete steps are presented,and the main differences between them are identified.The dependence principles of immune systems are also pointed out and the complexity of computation is analyzed.The paper shows that the modified immune clone diversity algorithm can optimize the complex functions by using fewer candidate solution colonies.
Keywords:immune system  artificial immune system  diversity algorithm  function optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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