摘要
产品设计过程中如何合理地选择出满足要求的工程材料对提高产品质量和市场竞争力具有十分重要的作用。针对选材过程中的多条件约束、多目标优化的需要,提出一种基于神经网络与遗传算法集成的智能选材算法。该算法利用人工神经网络进行系统建模,为遗传算法找到适应度函数,进而利用遗传算法进行多目标优化而得到材料选择方案。在此基础上开发出计算机辅助智能选材软件系统,应用验证表明该系统对于帮助用户合理选择材料方案有一定的指导意义。
How to select materials with reason and meet the requirements is an important process in product＇s design,and it is important for improving the quality and the market competition of products.To meet the requirements of multi-restriction and multi-objective optimization in the material choice progress,an integrated intelligent system based on Artificial Neural Network （ANN） and Genetic Algorithms（GAs） was proposed.ANN was used for system modeling,which searched fitness function for GAs. And GAs was applied in multi-objective optimlzation.Based on all above,a computer aided intelligent material-choice system was presented.It was validated through the test,and it provide a reasonable guidance for users in materials selection.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第33期102-104,107,共4页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)/CIMS专题项目资助(the National High-Tech R&D Program for CIMS
China No.2006AA04Z108)
关键词
智能选材系统
多目标优化
人工神经网络
遗传算法
intelligent material-choice system
multi-objective optimization
Artificial Neural Network
Genetic Algorithms
