Study of Location Optimization Scheduling with Multiple Storage Tasks at Container Storage Area of Airport Freight Station

Abstract

In this paper, we made a deep analysis on the operational conditions and the process of double plate of ETV at the packaging zone of airport freight station, and considered double plate factor in the freight lot allocation problem of multi Unit Load Device (ULD) storage tasks. The freight lot allocation problem of multi ULD at the packaging zone was translated into a multi-objective optimization problem with constraints and a mathematical model was set up. Niche technique was introduced into genetic algorithm, and storage location was constructed to optimize genetic algorithm. The model was solved by genetic algorithm combined with. The experimental data obtained by the simulation of MATLAB showed that, the given genetic algorithm can solve the optimal Pareto solution aggregate of the ULD region’s freight lot allocation problem.