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针对复杂信息网络设计优化问题,分析了复杂信息网络特性,提出了基于演化涌现的复杂信息网络设计优化方法和拓扑结构演化模型。该设计优化方法以融贯论为指导,采用系统分析、建模分析和仿真分析相结合技术途径对复杂信息网络设计优化问题进行多尺度研究,树立基于网络化思维的安全观,突出网络拓扑结构设计,强化网络可控性、安全性和健壮性,体现局域结构演化形成功能整体涌现。拓扑结构演化模型综合选取网络建设成本、时延、健壮性和吞吐量等网络工程特征参数作为网络演化动力,通过调整参数权重生成优化网络。对实测ISP路由器级网络数据的仿真实验表明,方法模型具有可行性、有效性和扩展性,可加深对复杂信息网络动力学行为认识,促进信息网络科学发展。
Aiming at the problem of complex information network design and optimization, this paper analyzes the characteristics of complex information network and proposes a method to optimize the design and topology of complex information network based on evolution. The design optimization method is based on coherence theory, and adopts the method of system analysis, modeling analysis and simulation analysis to research the multi-scale design of complex information network design optimization, establish the security concept based on network thinking, and highlight the network topology Design, strengthen the network controllability, security and robustness, reflecting the emergence of the overall evolution of the formation of local structure. Topology evolution model synthetically selects network engineering characteristic parameters such as network construction cost, time delay, robustness and throughput as the network evolution power, and generates an optimized network by adjusting parameter weights. Simulation results of the measured ISP router-level network data show that the method model is feasible, effective and scalable, which can deepen the understanding of complex information network dynamics and promote the development of information network science.