In order to reduce the oil leakage of the internal combustion bearing and improve the oil film loading capacity,a hydrodynamic lubrication model for journalbearing system considering H-S cavitation effect was established,and the HS cavitation model was verified with the traditational model through peak oil film pressure.The cavitation zone and the density of the cavitation zone of the journalbearing system were analyzed with the H-S cavitation model.Based on the orthogonal test design and optimal Latin hypercube design,the effect of the parameters and parameter coupling on the lubrication characteristics was analyzed.The fast nondominated sorting genetic algorithm (NSGA-II) was coupled to carry out the multiobjective optimization of the bearing performances such as loading capacity and oil leakage.The results show that it is not precise enough to evaluate the weight of the parameter only by orthogonal test,the effect of parameters coupling is larger,so the parameters coupling should be taken into account when analyzing the influence of parameters weight.A front edge of optimal solution is formed in the multiobjective optimization of minimum oil leakage and maximum film loading capacity,and a set for the multiobjective optimizatione is obtained.