Cooperative target assignment for unmanned combat aerial vehicles based on Bayesian optimization algorithm with decision graphs

In order to solve target assignment problems for unmanned combat aerial vehicles (UCAVs) during the process of UCAVs cooperative control, a cooperative target assignment methodology based on the Bayesian optimization algorithm with decision graphs (DBOA) is put forward. Firstly, considering enemies, ourselves and internal conflicts of UCAVs, a cooperative target assignment mathematical model is established. Then, avoiding trapping in local optimal solutions, the Bayesian network is constructing to guide and optimize evolution capabilities of the population. Finally, the simulation results show that the Bayesian optimization algorithm with decision graphs has a rapid convergence speed and can obtain the optimal solution. The results also demonstrate that the assignment methodology above owns a good time efficiency and assignment effect.