The capacity of complex sector changes with the dynamic change of traffic complexity, and current MIT strategy based on fixed capacity is no longer applied. However, the frequent change of transfer interval will also have negative influence on the air traffic control. In this paper, firstly, traffic complexity is transferred into workload parameter to solve the dynamic capacity problem which caused by the change of transfer interval. Then, a traffic flow-capacity matching model based on sector workload restriction and a control strategy stability characterization function are presented. A multi-objective optimization model for minute-in-trail strategy with the targets of strategy stability and delay cost and its intelligence algorithm are established. Finally, this optimization model is verified by the real operation data from Kunming approach sector. The experimental results verify that a group of Pareto optimal solutions can be got, and the model can offer decision support for air traffic flow administrative department when they issue transfer interval strategy.