Optimization Model of Information System Network Structure Based on Artificial Fish Swarm Algorithm

With the progress of science and technology, the telecommunication network has developed rapidly, especially the application of optical transmission network, which has greatly improved the quality of electric power communication, and electric power communication is gradually changing from analog communication to digital communication. When the transmission network develops to a certain scale, it is necessary to optimize it, so as to improve the overall performance level of the transmission network, meet the needs of the ever-expanding power grid for production, marketing and modern enterprise management, and provide communication guarantee for the development of the power grid. In order to meet these challenges, it is necessary to plan and optimize the power communication network reasonably, so that all kinds of factors and indicators can be comprehensively and evenly considered in the construction of the communication network, and thus the power communication network can operate more efficiently. In this paper, the network structure optimization model of power information system based on artificial fish swarm algorithm (AFSA) is constructed, and the strategy of network structure optimization of power information system is analyzed. Experiments have shown that the method proposed in this article has good recognition performance, with a recognition accuracy of 96%, which can be improved by 19.96% compared to traditional methods. It is applied to the optimization of power information system network structure, improving the reliability, security and stability of transmission network and optimizing the utilization rate of communication resources.