Multilevel Optimization: Algorithms and Applications by A Migdalas

Multilevel Optimization: Algorithms and Applications by A Migdalas

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).

SKU	Unavailable
ISBN 13	9780792346937
ISBN 10	0792346939
Title	Multilevel Optimization: Algorithms and Applications
Author	Athanasios Migdalas
Series	Nonconvex Optimization And Its Applications
Condition	Unavailable
Binding Type	Hardback
Publisher	Kluwer Academic Publishers
Year published	1997-12-31
Number of pages	386
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable