WTA problem of multi-UAV cooperative combat optimization algorithm based on Aemom

There are commonly the shortcomings of the large solution space and the computational cost of the WTA problem of multi-UAV cooperative combat, so the Adaptive Evolutionary Multi-objective Optimization Method (AEMOM) based on the stepwise generation of the initial population to ensure the feasibility of population is proposed. Simulation results show that the AEMOM algorithm not only can effectively solve the WTA problem of multi-UAV cooperative combat and reflect the change of the income risk value of the weapon target assignment directly, but also effectively compensates the defects of the WTA problem of multi-UAV cooperative combat solution space and computational cost and makes the combat time more favourable for the actual combat. The AEMOM algorithm studied in this paper has certain reference value for improving the combat effectiveness of multi-UAV cooperative combat system and promoting the reasonable assignment of weapon target.