Research on Dynamic Task Planning of UAV Based on Ant Colony Algorithm

This paper utilizes the contract network protocol to achieve UAV dynamic mission assignment based on the basic biding procedure. Path planning is a very important sub-problem in UAV dynamic task assignment, therefore it is worth discussing. As a type of intelligent optimization algorithm, the ant colony algorithm is frequently used in UAV path planning because of its fine characteristics of self-organization, parallelism, positive feedback and robustness. This paper uses ant colony algorithm to replan the UAV flight path during the dynamic mission allocation according to the required length cost in the biding.