Research And Application Of Intelligent Allocation Optimization For Airport Boarding Gates

With the rapid development of the economy,more and more travelers are choosing airplanes as their preferred means of transportation for long-distance travel.Especially during holidays,tens of thousands of passengers transfer at airports.How to effectively utilize airport boarding gate resources to meet flight allocation needs and alleviate passenger transfer time is extremely important.Therefore,this article constructs a comprehensive objective function for gate allocation by studying the above issues,and then designs an optimization algorithm for gate intelligent allocation,achieving an airport gate intelligent allocation system.The main research content is as follows:(1)Three sub objective functions were designed to address the issues of airport flight gate allocation and transfer of transfer passengers,including gate utilization rate,flight far seat allocation rate,and passenger transfer tension.A linear weighted sum method based on the number of transit passengers was used to set the weight factors of the three sub objective functions,and a comprehensive objective function for gate allocation was constructed.This function updates the weight with the daily number of airport transfers,making it accurately reflect the airport’s transfer situation on that day.(2)Aiming at the fitness update calculation of the comprehensive objective function of the gate assignment,the intelligent assignment optimization algorithm of the gate is constructed by combining biogeography optimization algorithm and genetic algorithm.This algorithm takes biogeography optimization algorithm as the main body,and integrates the selection operation of genetic algorithm into biogeography optimization algorithm,so that habitats with higher fitness can be preferentially migrated.Combining the crossover operation of genetic algorithm with the migration operation of biogeography,the habitat renewal mechanism is more abundant and the diversity of habitat eigenvalue is effectively increased.(3)A Qt based airport boarding gate intelligent allocation system was designed and implemented using an optimization algorithm for boarding gate intelligent allocation.This system has functions such as flight data processing,algorithm parameter settings,flight gate allocation,and gate occupancy statistics,providing a powerful reference for more efficient and efficient airport gate allocation.The test results indicate that the intelligent allocation optimization algorithm for airport boarding gates designed in this article has certain reference value in terms of flight allocation quantity,transfer time among passengers,and transfer tension.It has certain application value for improving airport operational efficiency and enhancing humanized management of the airport.