计算机工程与科学2025，Vol.47Issue(7)：1193-1204,12.DOI:10.3969/j.issn.1007-130X.2025.07.006
基于多视图图注意力机制的软件定义光传输网络路由优化算法
A routing optimization algorithm for software-defined optical transport network based on multi-view graph attention mechanism
摘要
Abstract
To address issues such as poor convergence performance and weak generalization capability in traditional deep reinforcement learning(DRL)applications for routing optimization in software de-fined optical networks(SDONs),this paper proposes a multi-view graph attention mechanism-based deep Q-Network(MGATDQN)algorithm to optimize routing decisions in SDONs.First,a DRL-based routing decision model is designed to identify the optimal routing strategy for each source-destination traffic demand in the optical network.Second,considering the sparse connectivity characteristics of nodes in optical networks,a multi-view attention network is employed as the network model for the deep Q-Network(DQN).By computing attention weights for neighboring edges,the reinforcement learning a-gent can consciously aggregate critical network information,thereby enhancing the model's generaliza-tion capability.Additionally,the integration of multi-view learning improves the convergence speed and stability of the graph attention network model.Finally,simulation-based routing experiments are conduc-ted using the Gym framework,and the algorithm's load-balancing capability and generalization perform-ance are evaluated across different network topologies.Experimental results demonstrate that the MGATDQN algorithm exhibits superior convergence performance and load-balancing ability in SDON routing optimization.Moreover,it generalizes well to unseen network structures and maintains robust decision-making capabilities even when certain network nodes fail.关键词
光传输网络/软件定义网络/深度强化学习/多视图图注意力机制Key words
optical transport network/software-defined networking/deep reinforcement learning/multi-view graph attention mechanism分类
信息技术与安全科学引用本文复制引用
陈俊彦,李欣梅,朱昌洪,肖微..基于多视图图注意力机制的软件定义光传输网络路由优化算法[J].计算机工程与科学,2025,47(7):1193-1204,12.基金项目
广西区自然科学基金(2020GXNSFDA238001) （2020GXNSFDA238001）
广西高校中青年教师科研基础能力提升项目(2020KY05033) （2020KY05033）
