Construction of Surrogate Model Driven by Model and Data

Authors

Jing An, Joint Logistics College, National Defense University, Beijing 100858, China; Graduate School, National Defense University, Beijing 100091, China; Joint Operations College, National Defense University, Beijing 100091, ChinaFollow
Guangya Si, Joint Operations College, National Defense University, Beijing 100091, ChinaFollow
Miaoting Zeng, Joint Logistics College, National Defense University, Beijing 100858, China

Abstract

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.

Recommended Citation

An, Jing; Si, Guangya; and Zeng, Miaoting (2024) "Construction of Surrogate Model Driven by Model and Data," Journal of System Simulation: Vol. 36: Iss. 3, Article 19.
DOI: 10.16182/j.issn1004731x.joss.22-1263
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss3/19

First Page

756

Last Page

769

CLC

TP 391.9

Recommended Citation

An Jing, Si Guangya, Zeng Miaoting. Construction of Surrogate Model Driven by Model and Data[J]. Journal of System Simulation, 2024, 36(3): 756-769.

Corresponding Author

Si Guangya

DOI

10.16182/j.issn1004731x.joss.22-1263