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Academic Journal of Computing & Information Science, 2022, 5(3); doi: 10.25236/AJCIS.2022.050301.

MOFA/D-URAM for Solving the Air and Missile Defense Problem Based on Uncertainty Theory


Guangjian Li1, Guangjun He1, Yong Zhang1

Corresponding Author:
Guangjian Li

1Air Force Engineering University, Xi' an, China


For the uncertain factors in the fire allocation process of air and missile defense problem, the uncertainty theory is used to deal with the uncertain factors in the problem, and an uncertain multi-objective dynamic weapon target assignment model is proposed. In order to deal with the above model, a multi-objective evolutionary algorithm based on decomposition is proposed, which adds the displacement mechanism of firefly algorithm and uniformly randomly adaptive weights mechanism. Then, the simulation results show that the proposed algorithm has good convergence and distribution uniformity for solving multi-objective optimization problem. Lastly, using the algorithm to solve the above model, the results verify the rationality of the model.


Fire allocation; Adjustment mechanism; Multi-objective optimization; Uncertainty theory

Cite This Paper

Guangjian Li, Guangjun He, Yong Zhang. MOFA/D-URAM for Solving the Air and Missile Defense Problem Based on Uncertainty Theory. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 3: 1-16. https://doi.org/10.25236/AJCIS.2022.050301.


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