基于AIS的时变函数优化  

Optimization of Time-Varied Functions Based on AIS

作　　者：徐雪松[1] 邓智[2] 王勇[1] 

机构地区：[1]华东交通大学电气与电子工程学院,江西南昌330013 [2]江西财经学院信息工程学院,江西南昌330013

出　　处：《吉首大学学报（自然科学版）》2005年第4期41-44,共4页Journal of Jishou University(Natural Sciences Edition)

摘　　要：借鉴生物免疫系统优化机理,构造一种人工免疫系统,用于求解时变函数优化问题.该方法采用高变异克隆选择作为主要的搜索算子,通过免疫网络的构造和在线调整,实现进化过程优势个体模式的自组织记忆.仿真结果表明该算法具有较好的时变函数优化效果.Referring to inmune optimization mechanism, an artificial immune system for time - varied functions optimization is presented. In this paper, a clone and selection operator is constructed to act as the main search operator by mimic the clone and selection process of B cell, and a immune network is constructed to realize self-organization and memory of the optimal and is used to conduct the following search process. The simulation results show that the algorihm has good perfonrmance on optimization for time- varied functions.

关 键 词：人工免疫系统 时变函数 优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]