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Mobile Agent technology has broad application prospects, mobile strategy of which will directly affect the performance of Mobile Agent and even completion of its Task. Therefore, the research on self-migration calculation of Mobile Agent has theoretical significance and application value. Sequence will be regarded as a part of selective task, so this paper only discusses migration issues of Mobile Agent under the case of sequential, selective and parallel. This paper proposes a new definition of the extended itinerary graph, and on this basis gives the mathematical calculation model of the fitness function, population selection operator, mutation probability of genetic algorithm. By improving the genetic algorithm, Migration Algorithm of Mobile Agent is designed.