Optimization of multi-state generation problem based on spatial information network topology

作     者：Peng Yang JiaYing Zhang Shijie Zhou Jinyu Zhou 

作者机构：School of Information and Software EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 610054China School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengdu 611731China 

出 版 物：《高置信计算(英文)》 (High-Confidence Computing)

年 卷 期：2023年第3卷第1期

页      面：58-65页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 08[工学] 080203[工学-机械设计及理论] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 0802[工学-机械工程] 0701[理学-数学] 

基　　金：This work was supported by the Science and Technology Department of Sichuan Province China(2023YFG0155). 

主　　题：Spatial information network Simulated annealing NSGA-II 

摘      要：Spatial information network is a kind of satellite network with high speed node movement and fast dynamic topology change.With the increasing number of low-orbit satellites,the research on the subnets topology and dynamic optimization of space information networks has become an important direction to study the destructibility of spatial information network.In this paper,two common objective functions in inter-satellite link assignment,network observation position and network communication factor are studied,and a multi-objective optimization model is constructed.Depth first search,simulated annealing,NSGA-II and adaptive optimization simulated annealing were used to analyze and solve the model.By comparing the solving efficiency of the model through simulation experiments,the difference of the results caused by the four algorithms is verified.