《Tab.3 Correlation coefficients of responses》

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《基于数据挖掘和元模型的离心压缩机机匣多目标优化（英文）》

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The influences of the five important design parameters on the aerodynamic performances are illustrated in Fig.7.This figure is plotted by varying a certain design parameter while keeping the rest parameters at the baseline level.It can be seen that with the increase of X3，the efficiencies and surge mass flow firstly increase and then keep stable.With the increase of X6，the design efficiency and near stall efficiency remain constant at the beginning and then drop off，while the surge mass flow firstly increases sharply and then decreases slowly.The three objective functions firstly increase and then decrease with the X7，while the effects of X9and X10 can be ignored in the single factor analysis.The results show that the variation patterns of the objective functions are complex，it is hard to obviously improve all objectives and some compromises should be made to those objectives.It is important to carry out multi-point multi-objective global optimization to achieve a good balance among objectives.