Journal of System Simulation
Abstract
Abstract: Combat simulation experimental design refers to sampling the values of experimental factors based on baseline combat scenarios using various experimental design methods and then generating a set of experimental schemes for the sequential simulation. The complexity of combat simulation, such as numerous experimental factors and distinct factor types, including continuous and discrete numeric types, poses several challenges and requires efficient hybrid experimental design methods. To address these issues, this paper conducts a study on the hybrid experimental scheme design for combat simulation. This paper gives a brief classification and review of experimental design methods and presents three hybrid experimental scheme design methods with their merits and drawbacks analyzed. The paper introduces an experimental design system for combat simulation, including its software architectural design, functions, and experimental design procedure and demonstrates and analyzes the application of three hybrid experimental scheme design methods in a combat scenario. The tool and methods presented in this paper will effectively guide the experimental design problem in complex combat simulation with discrete and mixed type factors, and it has been applied and verified in several simulation projects.
Recommended Citation
Liu, Fei; Lai, Peng; Lu, Yingbo; Wang, Min; and Lu, Zhifeng
(2024)
"Research on Hybrid Experimental Scheme Design for Combat Simulation,"
Journal of System Simulation: Vol. 36:
Iss.
3, Article 17.
DOI: 10.16182/j.issn1004731x.joss.22-1309
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss3/17
First Page
735
Last Page
742
CLC
TP391.9
Recommended Citation
Liu Fei, Lai Peng, Lu Yingbo, et al. Research on Hybrid Experimental Scheme Design for Combat Simulation[J]. Journal of System Simulation, 2024, 36(3): 735-742.
DOI
10.16182/j.issn1004731x.joss.22-1309
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons