Interactive Multiobjective Optimization of Airport Baggage Trolley Scheduling Based on NSGAII

Flights require a range of ground support services during airport stopovers, of which baggage transportation is an important component. At present, most airports in China still use the manual dispatching method of single vehicle and single flight, which is costly and inefficient. To address the problem, this paper analyzes the baggage trolley scheduling process, determines the scheduling constraints, and establishes the model of airport baggage trolley scheduling. In this paper, based on NSGAII combined with the contribution hypervolume metric, an interactive multi-objective optimization algorithm is proposed, which allows the decision-maker to adjust the weights of the objective function during the process of the algorithm in order to guide the algorithm to find solutions that fit real-world. Experiments on the airport dataset show that the algorithm proposed in this paper can significantly improve efficiency and solution quality.