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基于克隆选择原理的自适应免疫性遗传算法研究
引用本文:赵峰,苏宏升.基于克隆选择原理的自适应免疫性遗传算法研究[J].计算机工程与设计,2008,29(23).
作者姓名:赵峰  苏宏升
作者单位:兰州交通大学,自动化与电气工程学院,甘肃,兰州,730070
基金项目:甘肃省自然科学基金项目
摘    要:针对遗传算法中存在着收敛方向无法控制和没有记忆能力等缺陷,提出了具有免疫功能的克隆遗传算法.该算法把目标函数和制约条件作为抗原,保证所生成的抗体与问题直接相关联,使收敛方向得以控制;对抗原亲和力高的抗体进行克隆记忆,促使优良个体的发育成熟并能有效地遗传到下一代;同时,基于浓度的概念提出对抗体数量进行抑制,确保群体更新的多样性,避免早熟.通过理论分析和实验研究,证明该算法具有快的收敛速度和搜索能力,是一种有效的生物计算方法.

关 键 词:克隆选择  遗传算法  亲和力  浓度  生物计算

Research on adaptive immune genetic algorithms based on clone selection principles
ZHAO Feng,SU Hong-sheng.Research on adaptive immune genetic algorithms based on clone selection principles[J].Computer Engineering and Design,2008,29(23).
Authors:ZHAO Feng  SU Hong-sheng
Affiliation:ZHAO Feng,SU Hong-sheng(School of Automation , Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
Abstract:In view of the defects that there is no way to control convergence orientation and also no memory capability in genetic algorithms(GA), a clone genetic algorithm is proposed which can make genetic algorithm possess immune function.In this algorithm, aim function and restriction condition are served as antigens(Ags) so as to ensure the created antibodies(Abs) directly related to the problem-solving, thus, convergence orientation in GA is controlled ultimately, the antibodies with high affinities are cloned a...
Keywords:clone selection  genetic algorithm  affinity  thickness  biology algorithm  
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