As the key component of cabin door operation， the cam mechanism of cabin door handle directly affects the efficiency and safety of cabin door operation. To improve the operation efficiency of the cabin door， the non-dominated sorting genetic algorithmⅡ （NSGA-Ⅱ） is employed for the multi-objective optimization design of the cabin door handle cam mechanism. The optimization results indicate significant improvements on the performance of the driving curve. Specifically， the pressure angle， the resistance and the resistance torque are all reduced， and the curvature radius is increased. The optimization effect of the relief valve drive curve is relatively weak， but still achieve a certain degree of enhancement. This study provides an effective solution for the optimization design of cabin door cam mechanisms and has good practical application prospects.