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Airport ground services management are about the scheduling of each airport ground services equipment for the purpose of improving traffic control services, strengthening the operation and management, ensuring the normal operation of flights. We define a function of staff number and work time and establ;ish a mathematical model. And the random weight method is introduced to solve this multi-objective optimization problem what we establish. Based on the model, we present multi-population co-evolutionary Memetic algorithm. Simulation results show that the algorithm for the airport ground services problem is more effective.