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在透平叶栅气动热力学计算基础上，并以透平叶栅的能量损失系数和做功能力为目标函数，引入了带有变加权系的、鲁棒性极强的遗传算法来进行叶栅的多目标优化设计。文中给出了基于遗传算法的多目标优化设计方法的机理和具体步骤，介绍了透平叶栅多目标优化设计的数学模型，并对一个典型的跨音速叶栅进行了多目标优化计算和分析。优化结果表明，此方法的应用能够捕获一组非受控解，这一点不仅充分体现了多目标优化设计的思想，而且说明了此算法的有效性。
Based on the aerodynamic calculation of the turbine cascade and taking the energy loss coefficient and the work capacity of the turbine cascade as objective functions, a robust genetic algorithm with variable weighting system is introduced to conduct the cascade Multi-objective optimization design. In this paper, the mechanism and concrete steps of multi-objective optimization design method based on genetic algorithm are given. The mathematical model of multi-objective optimization design of turbine cascade is introduced, and a multi-objective optimization calculation and analysis of a typical transonic cascade is given. . The optimization results show that the application of this method can capture a set of uncontrolled solutions, which not only fully reflects the idea of multi-objective optimization design, but also shows the effectiveness of the proposed algorithm.