Journal of System Simulation ›› 2024, Vol. 36 ›› Issue (3): 756-769.doi: 10.16182/j.issn1004731x.joss.22-1263

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Construction of Surrogate Model Driven by Model and Data

An Jing1,2,3(), Si Guangya3(), Zeng Miaoting1   

  1. 1.Joint Logistics College, National Defense University, Beijing 100858, China
    2.Graduate School, National Defense University, Beijing 100091, China
    3.Joint Operations College, National Defense University, Beijing 100091, China
  • Received:2022-10-21 Revised:2022-11-28 Online:2024-03-15 Published:2024-03-14
  • Contact: Si Guangya E-mail:anj21_2000@sina.com;sgy863@sina.com

Abstract:

By taking the three-dimensional projection action in a certain combat style as the research object, a surrogate model construction method driven by model and data is proposed to support the operational action research, so as to solve the problem that the calculation factors are too much during simulated deduction; the calculation resource cost is too large, and the calculation accuracy of the general analytical model is insufficient. Firstly, an analytical model group of three-dimensional projections with coefficients to be optimized is constructed based on military theory, including weapons and equipment, forces, etc. In addition, the composition and parameter setting of the above-mentioned analytical model group are realized by the self-developed "visualization platform of surrogate model". The simulation system is used to implement deduction and collect high-credibility simulation data. Finally, by taking high-credibility simulation data as samples, the multi-objective genetic optimization algorithm NSGA-II is used to optimize the coefficients to be determined in the analytical model, and then a surrogate model of three-dimensional projection that considers both the calculation accuracy and speed is obtained. The experimental results show that the maximum relative error of operational loss of the constructed surrogate model of three-dimensional projection is less than 6.5%, and the calculation speed is 150 times faster than that of high-credibility simulation deduction.

Key words: three-dimensional projection, simulation deduction, analytical model, surrogate model, multi-objective optimization algorithm, interpretability

CLC Number: