| 书目名称 | Multilevel Optimization: Algorithms and Applications | | 编辑 | Athanasios Migdalas,Panos M. Pardalos,Peter Värbra | | 视频video | | | 丛书名称 | Nonconvex Optimization and Its Applications | | 图书封面 |  | | 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 | | 关键词 | 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 |
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发表于 2025-3-21 17:01:16
