Research on Airport Field Optimization Based on Adaptive Genetic Algorithm
In order to improve airport field operation efficiency and reduce aircraft delay and taxiing time,this paper proposes a bi-level model based on joint scheduling of airport field.The model considers the relationship between runway and taxiway,and is modelled with approach and departure sequences as the upper layer planning and taxi path scheduling as the lower layer planning,so as to improve the efficiency of airport field operation through the joint scheduling of the upper and lower layer models.The adaptive genetic algorithm,designed to solve the model,dynamically adjusts crossover and mutation probabilities to enhance convergence accuracy and speed.Simulation is carried out to verify the model using operation da-ta from a large domestic airport.The results show that the model can effectively optimize flight time alloca-tion and taxi path allocation,providing decision support for joint airport field scheduling.
万方数据
维普
