Journal of System Simulation
Abstract
Abstract: An effective weapon target assignment method can reduce the combat losses and improve the defense effect. A reasonable mathematical model is established for the allocation of air defense resources, aiming at the optimization objectives of maximizing target destruction effectiveness and minimizing radar resource consumption, considering multiple constraints such as the upper limit of radar channels, on the basis of multiobjective evolutionary algorithm based on decomposition (MOEA/D), the probability of crossover and mutation is adaptively adjusted to improve the quality of individuals in the process of population evolution, and a set of optimal solution sets for decision makers is obtained. The results show that, compared with other multi-objective evolutionary algorithms, the algorithm can obtain the higher fitness values and good distributivity, and can provide a feasible solution to the weapon target assignment for air defense missile.
Recommended Citation
Sun, Xin; Xing, Lining; Wang, Rui; Wang, Ling; Shi, Jianmai; and Luo, Tianyu
(2024)
"Air Defense Missile Weapon Target Assignment Based on Multi-objective Evolutionary Algorithm,"
Journal of System Simulation: Vol. 36:
Iss.
6, Article 4.
DOI: 10.16182/j.issn1004731x.joss.24-0118
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss6/4
First Page
1298
Last Page
1308
CLC
TP.391.9
Recommended Citation
Sun Xin, Xing Lining, Wang Rui, et al. Air Defense Missile Weapon Target Assignment Based on Multi-objective Evolutionary Algorithm[J]. Journal of System Simulation, 2024, 36(6): 1298-1308.
DOI
10.16182/j.issn1004731x.joss.24-0118
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