Game decision making of UAV aerial combat based on robust optimization

As one of the large uncertainty factors in the process of unmanned aerial vehicle (UAV) aerial combat, the damage probability of both sides may fluctuate in a certain range for it is easily affected by external factors. To solve this problem, the robust optimization theory is imported into the game model of UAV aerial combat. Integrated with expectation and variance for the fitness function of Nash equilibrium solution, an adaptive objective function with variable weight is established, and the method for weight distribution is designed. The strategy solution is feasible, meanwhile the robustness of hybrid strategies is improved in the case of the damage probability changing. The simulation results show that compared with the original game model, the game revenue for both sides obtained from Nash equilibrium solution of the new model is less affected by the change of parameters. Therefore it can provide more reliable strategies reference.