Deployment Optimization of Defense Stations in an Attack-Defense Aerial War Game

Abstract

An attack–defense aerial war game is developed to maximize the capability of defense forces in protecting a target area from an attack force. The attack force is composed of multiple attack stations in slant or pincer formation, and each attack station can launch multiple attackers against the defense force. The defense force is composed of one major post, two minor posts, and multiple defense stations, and each defense station is equipped with multiple interceptors against the approaching attackers. Four optional defense goals are proposed to guide the deployment of defense stations. A particle swarm optimization (PSO) algorithm is applied to acquire an optimal deployment plan of all the defense stations, under a specific defense goal. Multiple games are played with the optimal deployment plan, and the results are analyzed statistically. Interesting outlier cases are also inspected to gain more insights on the nature of the games.