Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (7): 1838-1847.doi: 10.12305/j.issn.1001-506X.2021.07.15

• Systems Engineering • Previous Articles     Next Articles

Modeling and solution of the romote support network design problem with relays in an environment with multiple uncertainty demands

Pei YANG1, Yiyong XIAO1, Hongyu WANG2,*   

  1. 1. School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
    2. Aviation School of Chinese people's Liberation Army, Beijing 101116, China
  • Received:2020-08-22 Online:2021-06-30 Published:2021-07-08
  • Contact: Hongyu WANG

Abstract:

In order to ensure the safety and stability of sea area, when an emergency security event occurs in the offshore area, it is often necessary to send aircraft from the mainland base to support and secure the event remotely. The optimal design problem of relay support network under stochastic and multi-demand environment is studied, the normalized problem description and mixed integer programming(MILP) model of the problem are given, and the objective function is established according to the frequency of unexpected events at the incident point and the support demand as the weight of demand. Taking the location of relay support points and the optimal support route as decision variables and the support resources as constraints, the MILP model realizes the location method combining continuous and discrete to optimize the selection of relay points, and uses the geometric approximation method to transform the Euclidian distance nonlinear constraint into linear constraint. The proposed MILP model can be optimized by using mathematical modeling language and solver, and the desired optimal network design and support path can be obtained directly under various uncertain demand environments. Based on the given three types of tasks, the simulation computation show that the proposed MILP model can meet the actual scale of the network design problem with relay.

Key words: network design with relay, least cost route, discrete and continuous location

CLC Number: 

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