On the design and implementation of mobile Agent´s migration strategy based on the extended itinerary graph and GA

With the changes in computing environment, the research on mobile Agent has attracted wide range of applications; Migration strategy of mobile Agent becomes one of popular research topics. Based on extended itinerary graph, this paper presents encoding scheme and data structure of sequential, selective and parallel tasks, and the using of improved genetic algorithms to solve problems of migration of mobile Agent. The paper implements the migration stimulation toolkit of mobile Agent, in order to test the effectiveness of the proposed method, and can meet the requirement of migration strategy in accuracy and convergence speed.