Research On Improved Particle Swarm Optimization And Its Application In Flight Landing Scheduling

With the rapid development of civil aviation in China, the contradictory between rapid growth in air traffic demand and hub airports with limited airspace that is becoming increasingly acute, how to raise the level of airport terminal area flight dispatch automation becomes a serious problem. Simply by improving air traffic control facilities as the main way to increase air traffic flow is no longer viable. Arrangements a proper landing sequence for different types of aircraft witch in flights from Porto, that becomes a great significance for improving utilization of airport capacity and effective and increasing air traffic at the airport.Aircraft Landing Scheduling in the terminal area problem is a class of NP problems, its core is flight schedule models together and quick sort algorithm. Currently in our country's air traffic control, flight landing is basic on a first-come, first-served scheduling(FCFS). But this method cannot be considered the factors such as the types and the overall cost of delay of flights, so its deficiencies are obvious.Based on the analysis the algorithm principle of standard particle swarm optimization,how to improve the performance of standard PSO algorithm and its application in the field of aircraft landing scheduling is studied. The main work is as follows:1. The standard PSO algorithm is analyzed, the algorithm parameters and inertia weight,the spirit of cooperation thought to determine a commensurate with the problem of inertia weight curve. And also make the corresponding improvement on the parameter learning factor.2. An organic combination of particle swarm optimization algorithm and the immune mechanism,this paper propose a novel immune particle swarm optimization algorithm,then made certification to the approximation problem of two classic functions in the improvement of the algorithm.3. A sliding time window control Dynamic flight multi-objective Optimization model by Dynamic Immune Particle Swarm Optimization algorithm is created, the minimum total aircraft delay cost as the objective function, considering fairness of give attention to two or more things, under various constraint conditions, the rational scheduling scheme is given.Finally, summarizes the deficiencies of the work and the work done, look forward to the development of the aircraft landing scheduling in coordination hub airport terminal area and follow-up work of the research.