Based on the aircraft arrival trajectory model and Required Time of Arrival(RTA) constrained model at the merge point,the multi-objective optimization model is established with the optimization goal of fuel consumption and the Global Warming Potential(GWP).The Artificial Bee Colony (ABC) algorithm is improved by introducing crossover operation and attenuation factor,and the intelligent solution of the model is realized.The A330 aircraft is taken as an example for calculation and analysis.The results show that the improved ABC algorithm can meet the needs of the arrival trajectory optimization under the constraint of RTA.The number of neighborhood search times,the weight of the optimized sub-objectives and the size of the RTA window all have an important effect on the optimization results.