Task assignment based on PSO algorithm based on Logistic function inertia weight adaptive adjustment

this paper, the improved particle swarm optimization(PSO)algorithm was used to solve the task assignment problem of multiple unmanned aerial vehicles (UAV), and was compared with the standard PSO algorithm under different conditions. Firstly, the mathematical model of task assignment of multiple UAV is established. Secondly, the inertia weight factor introduced in the particle speed update phase of the particle swarm optimization algorithm was improved. The improved particle swarm optimization algorithm was used to solve the task allocation model, and the simulation analysis and comparison were made. the results show that the improved algorithm has faster calculation speed and global optimization capability.