空战中机群编队分层优化算法

doi:10.7527/S1000-6893.2020.24257

Abstract

Abstract: To solve the problem of computing complexity in air fleet formation optimization, this paper proposes a hierarchical optimization algorithm. A collaborative task allocation model was established based on the distance, the angle, the velocity, and the performance of the missiles and radars of both sides. The air fleet formation of the enemy was layered according to the basic aircraft formations usually adopted in air combat. For each layer, when our formations of this layer select a variety of basic formations, the task allocation results and formation optimization advantages were calculated, and the optimal formations of this layer in our air fleet were then calculated by comparison. When all the optimization formations of each layer were obtained, the optimal formation of our air fleet can be obtained through combinational decoding of the optimal formations of each layer. The simulation results demonstrate that this method can effectively solve the fleet formation optimization problem with good real-time performance.

Key words: air fleet formation, formation optimization, task allocation, hierarchical optimization, fleet coding

CLC Number:

RAN Huaming, XIONG Rongling. Hierarchical optimization algorithm for air fleet formation in air-combat[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(S2): 724257-724257.

References

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Hierarchical optimization algorithm for air fleet formation in air-combat

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