Research on UCAV team coordination attack to associated targets using Bayesian optimization algorithm

Aiming at disadvantages of traditional weapon-target assignment (WTA) methods which treat targets as mutually independent entities, a kind of associated targets model was proposed. This model expressed the attacker's intent and knowledge about targets' inner relationship. The Bayesian Optimization Algorithm (BOA) was introduced to tackle the coordination attack problem. A weapon-target mapping rule was defined based on the WTA to solve the problem that how Unmanned Combat Air Vehicles (UCAVs) attacked associated targets in coordination. Simulation results manifest the rationality of the associated targets model and weapon-target mapping rule, comparison between the results of BOA and the stochastic genetic algorithm (SGA) shows the necessarily to introduce BOA.