Abstract: By modeling Mobile Agent(MA) server system model, this paper presents a MA intelligent migration algorithm founded on ant colony algorithm. It uses Mobile Agents to detect the global system status, which can minimize costs by detecting software. When Mobile Agents arrive at servers’ nodes, they can feel the pheromone by others laid. According to the pheromone, they choose a shorter route to move intelligently. Experimental results show that algorithm can adapt to environmental changes and has fault tolerant. It introduces the self-adjust pheromone to add intensity coefficient, so that MA can move more efficiently.

Key words: Mobile Agent(MA), ant colony algorithm, migration, migration strategy, travelling Agent problem

摘要： 在对移动Agent服务系统进行建模的基础上，提出一种基于蚁群算法的移动Agent智能迁移算法。为减少探测软件带来的额外开销，利用Agent探测全局系统状态。当Agent移动到服务节点时，能根据信息素自适应地调整旅行路线。实验结果表明，该算法能适应动态环境的变化，具有容错性。在对蚁群算法引入自适应调整的信息素增加强度系数后，Agent能以更高的效率完成迁移。

关键词: 移动Agent, 蚁群算法, 迁移, 迁移策略, 旅行Agent问题

CLC Number: 

• TP301.6