|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Decomposition Method of Complex Optimization Model Based on Global Sensitivity Analysis显示文摘The current research of the decomposition methods of complex optimization model is mostly based on the principle of disciplines, problems or components. However, numerous coupling variables will appear among the sub-models decomposed, thereby make the efficiency of decomposed optimization low and the effect poor. Though some collaborative optimization methods are proposed to process the coupling variables, there lacks the original strategy planning to reduce the coupling degree among the decomposed sub-models when we start decomposing a complex optimization model. Therefore, this paper proposes a decomposition method based on the global sensitivity information. In this method, the complex optimization model is decomposed based on the principle of minimizing the sensitivity sum between the design functions and design variables among different sub-models. The design functions and design variables, which are sensitive to each other, will be assigned to the same sub-models as much as possible to reduce the impacts to other sub-models caused by the changing of coupling variables in one sub-model. Two different collaborative optimization models of a gear reducer are built up separately in the multidisciplinary design optimization software iSIGHT, the optimized results turned out that the decomposition method proposed in this paper has less analysis times and increases the computational efficiency by 29.6%. This new decomposition method is also successfully applied in the complex optimization problem of hydraulic excavator working devices, which shows the proposed research can reduce the mutual coupling degree between sub-models. This research proposes a decomposition method based on the global sensitivity information, which makes the linkages least among sub-models after decomposition, and provides reference for decomposing complex optimization models and has practical engineering significance. | QIU Qingying LI Bing FENG Peien GAO Yu | 2014 | Chinese Journal of Mechanical Engineering2014，27，4： | 2 |
| 2 | AGENT based structural static and dynamic collaborative optimization显示文摘 | FENG PEIEN QIAN ZHONGYAN PAN SHUANGXIA el al | 2001 | Science in China (Series E)2001，44，5： | 1 |
| 3 | Research on generalized optimization process for mechanical product显示文摘 | Feng Peien Qiu Qingying Pan Shuangxia | 1999 | Science In China(Series E)1999，42，4： | 1 |
| 4 | A genetics-based approach for the principle conceptual design of mechanical products显示文摘 | Chen Yong Feng Peien Lin Zhongqin | 2005 | The International Journal of Advanced Manufacturing Technology2005，27，： | 1 |
| 5 | A genetics-based approach for the principle conceptual design of mechanical products显示文摘 | CHEN Yong FENG Peien LIN Zhongqin | 2005 | Int J Advanced Manufacturing Tech2005，27，34： | 1 |
| 6 | Product model structure for generalized optimal design显示文摘The framework of the generalized optimization product model with the core of network- and tree-hierarchical structure is advanced to improve the characteristics of the generalized optimal design. Based on the proposed node-repetition technique, a network-hierarchical structure is united with the tree-hierarchical structure to facilitate the modeling of serialization and combination products. The criteria for product decomposition are investigated. Seven tree nodes are defined for the construction of a general product model, and their modeling properties are studied in detail. The developed product modeling system is applied and examined successfully in the modeling practice of the generalized optimal design for a hydraulic excavator. | QIU Qingying , FENG Peien, WU Jianwei and PAN Shuangxia(State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310027, China) | 2002 | Progress in Natural Science:Materials International2002，12，4： | 1 |
| 7 | Feature modeling based on design catalogues for principle conceptual design显示文摘 | Feng Peien Xu Guo Rong | 1996 | Artificial Intelligence for Engineering Design Analysis and Manufacturing1996，10，4： | 1 |
| 8 | Agent based structural static and dynamic collaborative optimization显示文摘 | FENG Peien Qian Zhongyan PAN Shuangxia | 2001 | SCIENCE IN CHINA(seriesE)2001，44，5： | 1 |
| 9 | Research on agent based structural static and dynamic collaborative optimization显示文摘 | QIAN ZHONGYAN PAN SHUANGXIA | 2001 | Science in China(Series E)2001，44，5： | 1 |
| 10 | Feature modeling based on design catalogues for principle con- ceptual design显示文摘 | Feng Peien Xu Guorong Zhang Mingjun | 1996 | Artificial Intelligence for Engineer- ing Design Analysis and Mannfactureing1996，10，4： | 1 |
| 11 | A genetics2based approach for t he principle conceptual design of mechanical product s 显示文摘 | Chen Yong Feng Peien Lin Zhongqin | 2005 | The International Journal of Advanced Manufacturing Technology2005，，27： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员