Programming UAV swarm operational test based on mission reliability

An UAV swarm is a promising new type of weapon. It is important to carry out its operation trials to check its combat effectiveness. Due to high cost and long time consumption, it is necessary to program the operation trials in advance and formulate efficient trial programs. This study aims to explore the programming of UAV swarm operation trials. To ensure the success of trials, an operation trial programming method based on mission reliability is proposed. The programming method first constructs a mission reliability model for UAV swarm operation trial missions such as reconnaissance, attack and reconnaissance attack. Then, using the multi-objective quantum particle swarm optimization algorithm, the Pareto boundary is solved and the optimal program that comprehensively considers reliability and cost is determined. Finally, a simulation case is used to verify the correctness of the proposed programming method, which is a useful exploration of UAV swarm operation trial programming.