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Item Details
| Title:
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MULTILEVEL OPTIMIZATION: ALGORITHMS AND APPLICATIONS
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| By: |
Athanasios Migdalas (Editor), Panos M. Pardalos (Editor), Peter Varbrand (Editor) |
| Format: |
Hardback |
| List price:
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£242.50 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0792346939 |
| ISBN 13: |
9780792346937 |
| Publisher: |
SPRINGER |
| Pub. date: |
15 December, 1997 |
| Edition: |
1998 ed. |
| Series: |
Nonconvex Optimization and Its Applications 20 |
| Pages: |
386 |
| Description: |
This volume is written by various researchers and presents a cohesive overview of developments and applications in the emerging field of optimization. It is intended for researchers whose work involves the application of mathematical programming and optimization to hierarchical structures. |
| Synopsis: |
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). |
| Illustrations: |
XXII, 386 p. |
| Publication: |
Netherlands |
| Imprint: |
Springer |
| Returns: |
Returnable |
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