Multi-runway Flights Landing Schedules Using an Improved GA-PSO Algorithm
The airport runway is an import resource in air traffic management system. The purpose is to rationally allocate the flight landing runway and landing sequence and reduce flight delays. This paper analyzes the principle of the adaptive genetic algorithm and the particle swarm optimization algorithm,and then improved each of them. Using the improved GA algorithm combine with the improved PSO algorithm,establish the multi-runway flights schedule model. Apply the improved GA-PSO algorithm to solve the established model,and then gives the simulation results at last. The results show that,the improved GA-PSO algorithm can reduce the total delay time and accelerate the convergence speed effectively.