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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Ting-ting Chen Xiao-kai Lin Yi |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Mechanical Engineering, Beijing Institute of Technology, Beijing, P.R. China (Wang Ting-ting; Chen Xiao-kai; Lin Yi) |
| Abstract | The large-scale complex system of the practical engineering design always contains multiply optimization objectives and multiply disciplines. Aiming at the large-scale system Multidisciplinary design optimization (MDO) design problem with the serious conflicts between the different design objectives, we describe the integration of Linear Physical Programming within Analytical Target Cascading framework in this paper. The proposed framework would enable designers to formulate multiple system-level objectives in terms of physically meaningful parameters, and would hierarchically decompose the multilevel system into several small and more manageable subsystems for saving computational cost. A mathematical example using MDO method demonstrated the proposed framework. |
| Starting Page | 2286 |
| Ending Page | 2289 |
| File Size | 274951 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424493517 |
| e-ISBN | 9781424493524 |
| DOI | 10.1109/BMEI.2011.6098673 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Aggregates Decision making linear physical programming Analytical Target Cascading Programming Educational institutions MDO Delta modulation multi-objective optimization Optimization Convergence |
| Content Type | Text |
| Resource Type | Article |
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