The invention discloses a
resource allocation method for unmanned aerial vehicles based on the
quantum bird swarm evolution mechanism, which belongs to the field of
autonomous control of unmanned aerial vehicles. The steps of the method of the present invention are as follows: establish a UAV
resource allocation model; determine the type of mission performed by the UAV, and initialize the
quantum bird group; perform fitness calculation according to the
fitness function, and determine the global best position of the group; through
quantum rotation The gate and the quantum NOT gate update and measure the quantum position; calculate the fitness according to the
fitness function; update the local best position of each quantum bird and the global best position of the whole group; judge whether the maximum number of iterations is reached, and output if reached The
global optimal position of the swarm is mapped to a task resource matrix. The present invention fully takes into account that UAVs have different needs for resources when they perform different tasks, obtains the UAV
resource allocation scheme with the optimal resource configuration ratio at less
time cost, and at the same time satisfies the performance requirements of UAVs, and obtains a more reasonable solution. UAV resource allocation scheme.