期刊导航

论文摘要

基于混沌理论的否定选择算法

A Negative Selection Algorithm Based on Chaos Theory

作者:张楠(四川大学 计算机学院,四川 成都610065);李志蜀(四川大学 计算机学院,四川 成都610065);张建华(四川大学 计算机学院,四川 成都610065)

Author:(School of Computer,Sichuan Univ.,Chengdu 610065,China);(School of Computer,Sichuan Univ.,Chengdu 610065,China);(School of Computer,Sichuan Univ.,Chengdu 610065,China)

收稿日期:2005-05-12          年卷(期)页码:2006,38(1):124-127

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:混沌;否定选择;人工免疫;检测器

Key words:chaos; negative selection; artificial immune; detector

基金项目:

中文摘要

为了提高人工免疫系统中抗体生成速度,基于免疫系统的混沌特征,提出了混沌否定选择算法。该算法首先利用混沌的遍历性产生候选检测器集合,然后利用混沌扰动直接产生较优的个体,缩小搜索空间,并利用混沌初值敏感的特性,克服冗余个体。实验表明,该算法不但更好地保持了种群多样性,而且有效地提高了检测器集的生成速度。

英文摘要

To increase antibody generating speed in artificial immune system, a chaos negative selection algorithm was presented which is based on the chaotic character of immune system. Over spread character of chaos sequence was used to generate candidate set of detector firstly, and then the chaos disturbance was used to get some individuals directly and reduce search space, additionally chaos initial value sensitivity was used to overcome redundancies. The experimental results showed that the algorithm noy only retains the diversity of population but also increases the generating efficiency of detector.

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