Research on the Optimization Model for Target Assignment of Multiple UAVs Based on Probability Equilibrium Strategy

A new algorithm based on probability collectives is proposed to solve the target assignment of multiple unmanned aerial vehicles (UAVs) to coordinated attack multi-target without centric control, while keeping the probability equilibrium of every UAV weapons. The estimation of distribution algorithms is used to solving the Multiple UAVs target assignment, which is proper to solve the discrete combination optimization. Simulation results show the accuracy of the optimization model for target assignment. Compared with conventional methods, the proposed method is able to converge to the global optimum with more stability, scalability and faster convergence rate.