Due to the nonlinearity and difficulty in the process of the cooperative target assignment, a discrete beetle swarm optimization algorithm is proposed. Firstly, the target assignment model is established based on the ...
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ISBN:
(纸本)9781665440899
Due to the nonlinearity and difficulty in the process of the cooperative target assignment, a discrete beetle swarm optimization algorithm is proposed. Firstly, the target assignment model is established based on the damage probability and target value of missile attacking target. Secondly, according to the constraint characteristics of the model, a particle integer coding method is proposed to reduce the complexity of the problem. Then, the discrete beetle swarm optimization algorithm is designed and used to solve the problem, which is an improved particle swarmoptimizationalgorithm by introducing beetle antennae search algorithm. The simulation results show that the algorithm combines the advantages of particle swarmoptimizationalgorithm and beetle antennae search algorithm, and has fast convergence speed and is not easy to fall into local optimum. Compared with other algorithms, the effectiveness of the algorithm is verified.
Due to the nonlinearity and difficulty in the process of the cooperative target assignment,a discrete beetle swarm optimization algorithm is ***,the target assignment model is established based on the damage probabili...
详细信息
Due to the nonlinearity and difficulty in the process of the cooperative target assignment,a discrete beetle swarm optimization algorithm is ***,the target assignment model is established based on the damage probability and target value of missile attacking ***,according to the constraint characteristics of the model,a particle integer coding method is proposed to reduce the complexity of the ***,the discrete beetle swarm optimization algorithm is designed and used to solve the problem,which is an improved particle swarmoptimizationalgorithm by introducing beetle antennae search *** simulation results show that the algorithm combines the advantages of particle swarmoptimizationalgorithm and beetle antennae search algorithm,and has fast convergence speed and is not easy to fall into local *** with other algorithms,the effectiveness of the algorithm is verified.
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