Air Defense Resource Deployment Optimization Based on Particle Swarm Optimization Algorithm

With the evolving nature of future warfare, it has become an important research topic to quickly and accurately obtain the optimal resource deployment plan under specific constraints. This paper focuses on the optimization of air defense resource deployment, with coverage rate as the ultimate optimization goal. It adopts the particle swarm optimization algorithm to seek the optimal solution and obtain the best deployment plan. Experimental results show that the intelligent optimization algorithm can obtain a resource deployment plan with a higher coverage rate in a shorter time.