| 書目名稱 | Nonlinear Interval Optimization for Uncertain Problems |
| 編輯 | Chao Jiang,Xu Han,Huichao Xie |
| 視頻video | http://file.papertrans.cn/668/667539/667539.mp4 |
| 概述 | Presents cutting-edge research advances, including recently developed models and methods for core scientific issues of interval uncertain optimization.Includes a symmetrical study of nonlinear interva |
| 叢書名稱 | Springer Tracts in Mechanical Engineering |
| 圖書封面 |  |
| 描述 | This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems. This model is then used as the basis for various interval uncertain optimization algorithms for engineering applications, which address the low efficiency caused by double-layer nested optimization. Further, the book extends the nonlinear interval optimization theory to design problems associated with multiple optimization objectives, multiple disciplines, and parameter dependence, and establishes the corresponding interval optimization models and solution algorithms. Lastly, it uses the proposed interval uncertain optimization models and methods to deal with practical problems in mechanical engineering and related fields, demonstrating the effectiveness of the models and methods.. |
| 出版日期 | Book 2021 |
| 關鍵詞 | Uncertain optimization; Optimization design; Non-probabilistic; Interval analysis; Sequential linear pro |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-8546-3 |
| isbn_softcover | 978-981-15-8548-7 |
| isbn_ebook | 978-981-15-8546-3Series ISSN 2195-9862 Series E-ISSN 2195-9870 |
| issn_series | 2195-9862 |
| copyright | Springer Nature Singapore Pte Ltd. 2021 |
|Archiver|手機版|小黑屋|
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