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A dynamic building method of mobile agent migrating path based on Q-learning

机译：基于Q学习的移动代理迁移路径动态构建方法

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Mobile agent is viewed as the proxy of a social member. It is able to carry tasks on the behalf of user and to migrate among hosts in a network and use local service to complete its tasks. The migrating path of mobile agent is a sequence of hosts that the agent migrates along in order to achieve the tasks it carries in network environment. The problem of migrating path planning with multi-objective is a tougher issue. This paper presents a dynamic building method of migrating path based on Q-learning algorithm in large-scale and dynamic open network which is modeled as social acquaintance network. The experimental results show that mobile agent is able to dynamically construct an efficient migrating path by utilizing the Q-learning algorithm step by step.
机译：移动代理被视为社会成员的代理。 它能够代表用户携带任务，并在网络中的主机之间迁移，并使用本地服务来完成其任务。 移动代理的迁移路径是代理迁移的主机序列，以便实现它在网络环境中进行的任务。 使用多目标迁移路径规划的问题是一个更强硬的问题。 本文介绍了基于Q学习算法的迁移路径动态建设方法，其大规模动态开放网络，其作为社会熟人网络建模。 实验结果表明，移动代理能够通过利用Q学习算法逐步动态地构造有效的迁移路径。

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