Multilevel Optimization: Algorithms and Applications - Nonconvex Optimization and Its Applications 20 (Hardback)
  • Multilevel Optimization: Algorithms and Applications - Nonconvex Optimization and Its Applications 20 (Hardback)
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Multilevel Optimization: Algorithms and Applications - Nonconvex Optimization and Its Applications 20 (Hardback)

(editor), (editor), (editor)
£199.99
Hardback 386 Pages / Published: 31/12/1997
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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).

Publisher: Springer
ISBN: 9780792346937
Number of pages: 386
Weight: 754 g
Dimensions: 240 x 160 x 23 mm
Edition: 1998 ed.

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