Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

对每个目进行无量纲化处理，采用传统的线性加权法进行了多目优化求解。

Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

对每个目标函数进纲化处理，采用传统的线性加权法进了多目标优化求解。

Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

对每个目标函数进行无量理，采用传统的线性加权法进行了多目标优求解。

Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

对每个目标函数进行无量纲化处理，采的线性加权法进行了多目标优化求解。

Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

对每个函数进行无量纲化处理，采用传统的线加权法进行了多化求解。

Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

对每个目标函数无量纲化处理，采用传统的线性加权法了多目标优化求解。

Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

每个目标函数进行无量纲化处理，采用传统的线性加权法进行了多目标优化求解。

Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

对每个目标行无量纲化处理，采用传统的线性加权法行了多目标优化求解。

Each objective function was nondimensionalized, and the multiobjective optimization function was solved by conventional weighting method.Sample point was appointed by uniform design.

目标函数进行无量纲化处理，采用传统的线性加权法进行了多目标优化求解。