In order to improve the spatiotem poral resource availability and the operational efficiency of air traffic at ter minal area, the sequencing and scheduling problem of arriva l traffic flow at complex terminal area is studied. By deeply analyzing the oper ational characteristics of arrival fix, route and runway system, constraints such as the wake turbulence separation, the control handoff separation and the multirunway operating separation are considered synthetically. Then an optimized model for arrival sequencing and scheduling problem is established to balance the different targets such as minimizing the total delay of all arrival flights, maximizing theoperational capacity of runway system and minimizing the flying time of all arrival flights at terminal area. Based on the theory of the elitist nondominated sorting genetic algorithm, Pareto optimal solutions are searched in the solution space. Selecting the terminal area of Shanghai multi-airport system as an simulation example, the results show that the proposed method has a 20.7% reduction in flight delays, and a 60.7% reduction in flight waiting time at terminal area compared with the method of first come first serve(FCFS), which can significantly improve the efficiency of arrivals at complex terminal area.