Intelligent Design of Space Layout of UAV Hangar Based on Particle Swarm Optimization

Aiming at the complexity and importance of hangar space layout design under the rapid development of Unmanned Aerial Vehicle (UAV) technology, this paper proposes an intelligent design method based on particle swarm optimization (PSO). By comprehensively considering the multi-objective optimization problems such as storage density, maintenance efficiency and operation efficiency, this paper designs and improves PSO algorithm to make it more suitable for the space layout design of UAV hangar. In the empirical analysis, we fully consider the performance and practicability of the algorithm, and verify the superiority of the improved algorithm in maximizing storage density and minimizing maintenance time through numerical experiments. By introducing appropriate weight coefficient of objective function and adjusting parameters, the improved PSO algorithm performs well in global search and local optimization. This paper emphasizes the importance of the improved algorithm in multi-objective optimization, parameter selection, experimental environment setting, etc., which provides useful experience and enlightenment for the further research in the field of UAV hangar design in the future. This research has practical guiding significance for improving the efficiency and intelligence level of UAV hangar design and rational utilization of resources.