Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (5): 969-982.doi: 10.23919/JSEE.2020.000072

• Systems Engineering • Previous Articles     Next Articles

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

Qinghua XING1,*(), Jiale GAO2()   

  1. 1 School of Air Defense and Anti-Missile, Air Force Engineering University, Xi'an 710051, China
    2 Unit 95806 of the PLA, Beijing 100000, China
  • Received:2020-02-09 Online:2020-10-01 Published:2020-10-30
  • Contact: Qinghua XING E-mail:qh_xing@126.com;gaojiale_kgd@163.com
  • About author:XING Qinghua was born in 1966. She received her master's and doctor's degree from Air Force Engineering University (AFEU) in 1992 and 2003, respectively. Now she is a professor in School of Air Defense and Anti-Missile of AFEU. Her research interests are intelligent decision-making, intelligent evolutionary algorithms, and optimization of operational architecture.E-mail: qh_xing@126.com|GAO Jiale was born in 1990. He received his master's and doctor's degree from Air Force Engineering University in 2015 and 2019, respectively. His research interests are evolutionary multi-objective optimization and sensor resource scheduling. E-mail: gaojiale_kgd@163.com
  • Supported by:
    the National Natural Science Foundation of China(71771216);the National Natural Science Foundation of China(71701209);Shaanxi Natural Science Foundation(2019 JQ-250);This work was supported by the National Natural Science Foundation of China (71771216;71701209), and Shaanxi Natural Science Foundation (2019 JQ-250)

Abstract:

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.

Key words: super-network equilibrium, operation architecture, fuzzy demand, information flow, variational inequality transformation