Airport Multi-flight and Multi-service Scheduling Strategy Based on Modified Particle Swarm Optimization

Airport ground services,such as refueling,luggage,catering,are the key to the normal operation of flights and also the key problem in rapid recovery from large-scale flight delays at an airport.The objective and constraints of multi-flight multi-service scheduling problem are analyzed.Multi-flight multi-service scheduling model is put forward.A two-dimensional particle representation is defined.A modified particle swarm optimization is designed to generate the flight scheduling solution.A simulation is carried out by using flight data from a domestic airport.The results show that the algorithm has obvious advantages over basic particle swarm optimization and evolutionary strategy,and multi-flight multi-service scheduling level and airport ground service efficiency could be greatly improved.