基于遗传算法的移动Agent迁移策略研究

摘要

在详细介绍移动Agent的基础上,基于遗传算法探讨了一种移动Agent的迁移策略.该策略能为移动Agent规划出一组最佳的迁移路径,使得移动Agent能适应复杂的动态网络坏境,并及时自主地修改迁移路径.最后仿真了一个实例,通过对实例的分析,验证了该算法能使移动Agent更好地适应动态迁移环境,寻找到最短路径,提高迁移效率.%Based on genetic algorithm,the Mobile Agent is introduced,and a migration strategy for Mobile Agent is explored.The migration strategy can plan a best group of migration paths which can make Mobile Agent adapt to complex dynamic network environment and change its migration path automatically in time.A simulation is provided to analyze and verify that the algorithm can make Mobile Agent adapt to dynamic migration environment better,find the shortest path,and improve the efficiency of Mobile Agent＇s migration.