摘要
在克隆选择算法的基础上,结合独特型免疫网络理论中抗体间的自适应动态调节思想,提出一种新的免疫算法——克隆选择调节算法(CSAA),并用于IIR数字滤波器的设计.该算法能更好地保持解的多样性及收敛速度快,有效地避免了早熟现象.对多个典型系统进行随机仿真并与其他方法进行比较研究,结果表明,该算法在多模态搜索空间中具有更好的全局收敛性和稳定性,是一种有效可行的IIR数字滤波器设计方法.
Based on the clonal selection algorithm, with the combination of the dynamic adjustment idea between antibodies of the idiotypic immune network theory, a new immune algorithm, the clonal selection adjustment algorithm （CSAA）, is proposed and applied to the design of IIR digital filter. CSAA has preferable diversity and converging speed and can avoid prematurity effectively. Random simulation based on some typical systems is compared with that of other methods. The simulation results show that the proposed approach has preferable global convergent ability and stability in multi-modal search space, and is a feasible and high efficiency design method for the design of IIR digital filter.
出处
《控制与决策》
EI
CSCD
北大核心
2007年第11期1264-1268,共5页
Control and Decision
基金
北京市教委重点学科共建项目(XK100080537)
