网络智能路由优化机制研究进展OA

With the rapid expansion of network scale,the continuous emergence of Internet applica-tions and the continuous increase in the complexity of network traffic,network routing has gradually emerged as one of the bottlenecks restricting the improvement of network performance.Enhancing net-work routing efficiency has become a key to optimize the overall network performance.In recent years,the vigorous development of artificial intelligence has brought unprecedented opportunities to network routing technology.The advancement of machine learning technology has enabled intelligent elements to be integrated into network routing optimization,opening up a new path for realizing intelligent and effi-cient networks.This paper conducts an in-depth comparative analysis of cutting-edge intelligent network routing optimization technologies from the perspectives of intelligent enablers including heuristic routing,machine learning,deep learning,reinforcement learning and federated learning,and finally looks forward to the future development of intelligent network routing technology.