Finally,flowchart of dynamic dispersal strategy is preposed and thus a foundation of developing the decision support system for urban traffic congestion management is provided.

To solve the dynamic traffic grooming problem in WDM mesh networks,we propose a resource efficiency grooming scheme based on the transceiver saving auxiliary graph model.

Resource allocation scheme based on dynamic policy and mobile prediction;

In this paper we analyzed equilibrium based and best response based learning algorithms,and proposed two reinforcement learning algorithms for dynamic policy under mixed multi-agent domains.

Present researches only compared the expressiveness of policies, but never considered the policy’s structure and the granularity of authorization, which makes it difficult to support the dynamic policy and satisfy the least privilege requirement.

The simplified entropy diagnostic measurement is realized using crude probability estimation;and a method based on simplified entropy using dynamic ε policy is put forward.