The research of Network security situational awareness (NSSA) is very important because it can improve the network monitoring abilities, Emergency response capacity and predict the development trend of network security. Based on the concept model of situational awareness, This paper expounds on the situational awareness of the three main research content: extraction the factors of NSSA, situation understanding and situation prediction. The Focuses on the core problem each stage needs to be solved, main algorithms and advantages and disadvantages of these algorithms. Finally, the implementation of the development trends of the related theory and application in different stages are analyzed and prospected.

It is difficult to coordinate the various processes in the process industry. We built a multiagent distributed hierarchical intelligent control model for manufacturing systems integrating multiple production units based on multiagent system technology. The model organically combines multiple intelligent agent modules and physical entities to form an intelligent control system with certain functions. The model consists of system management agent, workshop control agent, and equipment agent. For the task assignment problem with this model, we combine reinforcement learning to improve the genetic algorithm for multiagent task scheduling and use the standard task scheduling dataset in OR-Library for simulation experiment analysis. Experimental results show that the algorithm is superior.

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