基于GA-ANN的绿色产品制造工艺多目标  

Multi-objective Optimization of Green Products Manufacturing Process Based on GA-ANN

作　　者：刘丽[1] 殷国富[1] 周长春[1] 欧彦江[1] 

机构地区：[1]四川大学制造科学与工程学院,成都610065

出　　处：《武汉理工大学学报》2009年第14期126-129,共4页Journal of Wuhan University of Technology

基　　金：国家863/CIMS资助项目(2006AA04Z108);教育部高等学校博士学科点专项科研基金资助项目(20060610033)

摘　　要：为解决绿色产品制造工艺的多目标优化问题,提出一种将神经网络与遗传算法集成的求解决策模型。该模型以产品的基本性能、资源属性、能源属性和生命周期的环境属性为优化目标,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。最后,通过电动截止阀的阀体制造工艺优化实例对提出的方法进行了验证。To solve the multi-objective optimization problem of green products manufacturing process, a multi-objective optimization approach integrating Artificial Neural Network （ANN）with Genetic Algorithms （GAs） model is presented. Products＇ fundamental property, resouree attributes, energy＇s attributes and environmental attributes of lifecycle are taken as the objectives to be optimized. ANN is used for system modeling, which located fitness function and target function value for GAs. GAs is applied in multi-objective optimization. Finally an optimized example of electric globe valve manufacturing process was used to verify the present method.

关 键 词：绿色制造 绿色制造工艺 遗传算法 人工神经网络 环境 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]