A super-network equilibrium optimization method for operation architecture with fuzzy demands

• 作者: GAO Jiale XING Qinghua
• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2020,（5）
• 所属期刊栏目: SYSTEMS ENGINEERING
• 页码范围: 969-982
• 页数: 14页
• 语种: 英文
• DOI: 10.23919/JSEE.2020.000072

摘要

From the view of information flow,a super-network equilibrium optimization model is proposed to compute the solution of the operation architecture which is made up of a perceptive level,a command level and a firepower level.Firstly,the optimized conditions of the perceptive level,command level and firepower level are analyzed respectively based on the demand of information relation,and then the information supply-and-demand equilibrium model of the operation architecture super-network is established.Secondly,a variational inequality transformation (VIT) model for equilibrium optimization of the operation architecture is given.Thirdly,the contraction projection algorithm for solving the operation architecture super-network equilibrium optimization model with fuzzy demands is designed.Finally,numerical examples are given to prove the validity and rationality of the proposed method,and the influence of fuzzy demands on the super-network equilibrium solution of operation architecture is discussed.