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To solve the problem of unsatisfactory time and energy consumption of Elevator group control system (EGCS), a multi-objective optimization scheduling algorithm for elevator group control based on improved artificial bee colony algorithm is proposed. Firstly, for the complexity of EGCS control target, a group-controlled elevator dispatching model with multiple evaluation indexes is established, and reasonable elevator scheduling solution is selected according to the fitness value of the model. Then, the simulated annealing algorithm is introduced to solve the defect that the artificial bee colony algorithm is easy to fall into the local optimal solution, and it uses hybrid improved artificial bee colony algorithm for multi-objective optimal scheduling. The simulation results show that the proposed algorithm compared with the artificial bee colony algorithm on the three performance indicators of waiting time, riding time and stopping times is improved, which effectively shows that the method is effective certain advantages in solving the flexible multi-objective group-controlled elevator optimal scheduling.