| 書目名稱 | Multilevel Optimization: Algorithms and Applications |
| 編輯 | Athanasios Migdalas,Panos M. Pardalos,Peter V?rbra |
| 視頻video | http://file.papertrans.cn/641/640502/640502.mp4 |
| 叢書名稱 | Nonconvex Optimization and Its Applications |
| 圖書封面 |  |
| 描述 | Researchers working with nonlinear programming often claim "the word is non- linear" indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncer- tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierar- chies is to focus on one level and include other levels‘ behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierar- chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of opti- mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have one leader (associated with the upper level) and one follower (associated with the lower level). |
| 出版日期 | Book 19981st edition |
| 關鍵詞 | algorithms; complexity; computation; computational complexity; design; linear optimization; Mathematica; me |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4613-0307-7 |
| isbn_softcover | 978-1-4613-7989-8 |
| isbn_ebook | 978-1-4613-0307-7Series ISSN 1571-568X |
| issn_series | 1571-568X |
| copyright | Kluwer Academic Publishers 1998 |
|Archiver|手機版|小黑屋|
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