改进的蚁群算法在移动Agent迁移中的应用研究  

Application of an Ant Colony Algorithm in Migration of Mobile Agent

作　　者：肖丹丹[1] 蔡乐才[1] 李鹏[1] 

机构地区：[1]四川理工学院电子与信息工程系,四川自贡643000

出　　处：《成都大学学报（自然科学版）》2008年第1期41-44,共4页Journal of Chengdu University（Natural Science Edition）

摘　　要：蚁群算法是优化领域中新出现的一种仿生进化算法,该算法具有并行、正反馈和启发式搜索等特点,但搜索时间长、易陷入局部最优解是其突出缺点.通过对蚁群算法的改进来解决移动Agent的迁移策略问题.Ant colony algorithm is a novel category of bionic algorithm for optimization problems, which has the characteristic of parallelism, positive feedback and heuristic search, but it has the limitation of stagnation, and is easy to fall into local optimums. An improved ant colony optimization algorithm is introduced to solve the mobile agent problem, which is responsible for planning out an optimal migration strategy in this paper.

关 键 词：蚁群算法 迁移策略 旅行AGENT问题 

分 类 号：TP311.11[自动化与计算机技术—计算机软件与理论]