基于改进第二代非支配遗传算法的甲醇/柴油双燃料船舶发动机参数多目标优化OA北大核心

The 1D engine simulation software GT-Power was used to build a direct injection model of methanol/diesel M15(15%volume of methanol fuel)mixed fuel cylinder,and the torque,specific fuel consumption rate,NOx emissions and CO emissions were selected as the optimization targets,and the intake and exhaust valve timing angles,compression ratio and air-fuel ratio of the engine were used as the optimization parameters to carry out multi-objective optimization.In order to solve the multi-objective optimization problem effectively,the second-generation non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)was improved by using the gray entropy parallel analysis method,and the simulation results were verified by using the established response surface model.The optimization results show that the torque is increased by 6.96%,the specific fuel consumption rate is reduced by 1.19%,and the NOx and CO emissions are reduced by 12.37%and 3.77%,respectively.