Journal of System Simulation
Abstract
Abstract: Aiming at the strong adversarial characteristics of underwater attack and defense operations and the time-consuming problem of traditional Monte Carlo method, a model of torpedo anti-jamming attack based on game confrontation is designed and an improved genetic simulated annealing algorithm for optimal model is proposed. Through the research method of simulation analysis, on the basis of the models of two torpedo salvo attack and submarine acoustic resistance defense, the attack-defense confrontation model is constructed according to the Nash equilibrium theory under zero-sum game. The initial population, fitness function, and evolutionary strategy of GA are improved by the ideas of the adaptive deflation fitness of PSO algorithm and the metropolis acceptance criterion of SA algorithm. Through simulation experiments under typical shooting arrays, the performance of ISAGA algorithm is verified and the impact of shooting advance angle and launch range on torpedo attack effect is quantitatively analyzed.
Recommended Citation
Guo, Liqiang; Liang, Ma; Hui, Zhang; Jing, Yang; Xueman, Fan; and Zhuo, Cheng
(2023)
"Research on Modeling and Optimization Method of Torpedo Anti-jamming Attack Based on Game Confrontation,"
Journal of System Simulation: Vol. 35:
Iss.
8, Article 17.
DOI: 10.16182/j.issn1004731x.joss.22-0458
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss8/17
First Page
1814
Last Page
1823
CLC
TJ631.5；TP391.9
Recommended Citation
Guo Liqiang, Ma Liang, Zhang Hui, et al. Research on Modeling and Optimization Method of Torpedo Anti-jamming Attack Based on Game Confrontation[J]. Journal of System Simulation, 2023, 35(8): 1814-1823.
DOI
10.16182/j.issn1004731x.joss.22-0458
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