改进的自适应分组个体重构免疫算法  

Immune Algorithm of an Improved Adaptive Grouped Individual Reconstruction

作　　者：周维琴[1] 王晓珊[1] 

机构地区：[1]兰州交通大学信息与电气工程学院,甘肃兰州730070

出　　处：《兰州交通大学学报》2006年第4期83-86,共4页Journal of Lanzhou Jiaotong University

基　　金：兰州交通大学大学生科研立项基金项目(DXS-2006-19)

摘　　要：针对免疫算法收敛速度慢,有可能陷入局部寻优情况,提出了一种改进的自适应分组个体重构免疫算法.在个体重构的实现上采用了分组进行,同时对重构算法进行了合理的改进,既保证了收敛速度,同时也保证了全局寻优的过程.仿真实验也表明了这一改进算法在收敛速度和寻优能力方面较原算法有较大的改善.An improved adapative grouped individual reconstruction immune algorithm is presented,in allusion that immune algorithm has slow convergence velocity and may trap into local search. The improved algorithm uses group technique in individual reconstruction procedure and carries on rational improvement on the realization of algorithm. It not only accelerates convergence velocity but also takes advantage in global search capability. The statistical experiment results demonstrate that the algorithm proposed do better than other immune algorithm.

关 键 词：免疫算法 疫苗提取 疫苗接种 个体重构 超变异 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]