General Aviation Report Location Prediction based on Dynamic Extended Ant Nest Model

In order to meet the urgent need of dynamic prediction for general aircraft, a general aviation report location prediction algorithm based on dynamic extended ant nest model was proposed. The algorithm expanded the new ant nest dynamically according to the prediction information of error reporting points. According to the mutual exclusion between nests, the path points between extended new nests and adjacent nests were added to the path taboo area. Thus, the selection range of path points was reduced, the number of iterations and the probability of convergence to the local optimal solution were reduced, and the search efficiency was taken into account while improving the accuracy of the algorithm. The simulation results show that the algorithm can meet the business requirements of general aircraft dynamic prediction and provide technical reference for tracking flight dynamics and ensuring flight safety of general aircraft.