Research on Evaluation Framework of COA Based on Wargaming

Authors

Haiyang Liu, 1. College of Joint Operation, National Defense University, Beijing 100091, China; ;2. College of Space Command, Space Engineering University, Beijing 101416, China;
Yubo Tang, 1. College of Joint Operation, National Defense University, Beijing 100091, China; ;
Xiaofeng Hu, 1. College of Joint Operation, National Defense University, Beijing 100091, China; ;
Guangpeng Qiao, 1. College of Joint Operation, National Defense University, Beijing 100091, China; ;

Abstract

Abstract: Aiming at the evaluation problem of COA (course of action) level indicators in joint operation, an evaluation framework of COA based on wargaming was proposed. By multidimensional analysis of wargaming data, an evaluation feature space was constructed from basic features generated by data cube models and SoS (system of systems) features based on complex network. Wargaming experiments were used to generate small batch metrics results of COA level indicators, and the corresponding result labels of evaluation feature space data were generated by data fitting method. Two-phase correlation analysis was used for dimensionality reduction of high dimensional evaluation features. Evaluation model was constructed based on deep learning, and was trained by data samples. Corresponding solutions were given to solve some problems of evaluation framework of COA.

Recommended Citation

Liu, Haiyang; Tang, Yubo; Hu, Xiaofeng; and Qiao, Guangpeng (2019) "Research on Evaluation Framework of COA Based on Wargaming," Journal of System Simulation: Vol. 30: Iss. 11, Article 9.
DOI: 10.16182/j.issn1004731x.joss.201811009
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/9

First Page

4115

Revised Date

2018-07-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201811009

Last Page

4123

CLC

N949

Recommended Citation

Liu Haiyang, Tang Yubo, Hu Xiaofeng, Qiao Guangpeng. Research on Evaluation Framework of COA Based on Wargaming[J]. Journal of System Simulation, 2018, 30(11): 4115-4123.

DOI

10.16182/j.issn1004731x.joss.201811009