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An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines (EI收录)
Yao, Xifan[1]; Zhou, Jifeng[2]; Li, Yongxiang[2]; Liu, Erhui[2]
刊名Mathematical Problems in Engineering
2016
卷号2016
关键词Algorithms Design aids Distributed computer systems Efficiency Optimization Trees (mathematics)
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2196678
专题华南理工大学
作者单位1.[1] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun
2.130025, China
3.[2] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou
4.510640, China
推荐引用方式
GB/T 7714
Yao, Xifan[1],Zhou, Jifeng[2],Li, Yongxiang[2],等. An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines (EI收录)[J]. Mathematical Problems in Engineering,2016,2016.
APA Yao, Xifan[1],Zhou, Jifeng[2],Li, Yongxiang[2],&Liu, Erhui[2].(2016).An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines (EI收录).Mathematical Problems in Engineering,2016.
MLA Yao, Xifan[1],et al."An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines (EI收录)".Mathematical Problems in Engineering 2016(2016).
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