Design of air defense deployment optimization model based on adaptive nested PSO algorithm

With the rapid development of air strike weapons, air defense operations are facing increasingly severe challenges. Deploying air defenses scientifically and effectively has become an important issue in air defense operations. This paper comprehensively analyzes the main factors affecting air defense deployment from the perspective of both sides of the enemy and us in air defense operations, and quantifies the process of the war game. An adaptive particle swarm optimization algorithm is designed to solve the minimum kill path of air strike weapons, and it is embedded in the fitness function of the outer particle swarm optimization algorithm, and an air defense deployment model based on the adaptive nested particle swarm optimization algorithm is designed. The simulation example proves that the model is feasible and effective, and can provide reference for the research of air defense deployment combat decision-making problems.