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28 April 2023 Optimization of building target aiming point based on DDPGPSO algorithm
Wei Qingdong, Zhong Wang, Tang Jiajun
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Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 1261050 (2023) https://doi.org/10.1117/12.2671072
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
The particle swarm optimization algorithm (DDPGPSO) is used to study the aiming point optimization problem of multi-bomb attack on complex building targets, using the fire damage model of complex three-dimensional building targets under multi-bomb attack as an example. The theoretical model of the building stereo target is created, the appropriate fire damage index is chosen, and the optimization evaluation function is created, resulting in the optimization model of the optimal aiming point. To address the issue of traditional particle swarm optimization easily falling into local optimization due to premature maturity, a neural network is built to dynamically generate the required particle swarm optimization parameters, reducing the problems caused by manual selection. This algorithm outperforms traditional particle swarm optimization in terms of convergence speed and optimization accuracy, and it has a wide range of applications in the aiming point optimization model.
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Wei Qingdong, Zhong Wang, and Tang Jiajun "Optimization of building target aiming point based on DDPGPSO algorithm", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 1261050 (28 April 2023); https://doi.org/10.1117/12.2671072
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KEYWORDS
Particle swarm optimization
Missiles
Mathematical optimization
Explosives
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