中文摘要：

为解决绿色设计中材料选择的多目标优化问题，提出一种将神经网络与遗传算法集成的求解决策模型。该模型以材料的力学性能、工艺性能、经济属性和生命周期的环境属性等为优化目标，利用人工神经网络进行系统建模，并为遗传算法找到适应度函数及求得目标函数值的方法，进而利用遗传算法进行多目标优化。采用生态指数方法定量分析材料在其生命周期内对环境的影响。以某个电冰箱壳体材料的选择为例，证明该多目标决策模型对绿色设计中的材料选择有重要指导作用。

英文摘要：

To solve the multi-objective optimization problem of material selection in green design, a multi-objective optimization approach integrating Artificial Neural Network（ANN） with Genetic Algorithms （GAs） model was presented. Material＇s mechanical property, processing property, economic attributes and environmental attribute of lifecycle were taken as the objectives to be optimized. ANN was used for system modeling, which located fitness func- tion and target function value for GAs. And GAs was applied in multi-objective optimization. Whole environmental impact of material＇s lifecycle was quantitatively analyzed by the zoology index method. The system was validated by an example of fridge＇s outer shell material selection, and the results demonstrated that this model played an important role in guiding material selection in green design.