基于结合鲍德温效应和周期变异的免疫克隆优化算法的研究  

Research On Immune Clonal Optimization Algorithm Based On Baldwin Effect of Periodically Mutation

作　　者：张敏辉[1] 

机构地区：[1]四川教育学院计算机科学系,成都611130

出　　处：《电脑与信息技术》2012年第2期34-36,共3页Computer and Information Technology

摘　　要：为了提高免疫克隆算法求解最优值性能,根据生物的进化周期性和借鉴免疫系统鲍德温效应,提出一种基于鲍德温效应周期变异的免疫克隆优化算法,给出了算法的实现过程,选取有代表性的标准测试函数对提出的算法性能进行仿真实验。相比较其它算法,结果显示该算法是提高收敛速度和求解精度的有效算法。In order to improve the performance of immune clonal algorithm for solving optimization problems, to proposed a immune clonal optimization algorithm based on Baldwin effect of periodically mutation, to given the algorithm implementation process, and simulation experiments were done to validate algorithm. Simulations show that proposed algorithm has more powerful optimizing ability and higher optimizing precision in function optimization than literature algorithms.

关 键 词：鲍德温效应 周期变异 克隆选择 人工免疫系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]