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	Nicht verfügbar
ISBN 13	9780792346937
ISBN 10	0792346939
Titel	Multilevel Optimization: Algorithms and Applications
Autor	Athanasios Migdalas
Serie	Nonconvex Optimization And Its Applications
Buchzustand	Nicht verfügbar
Bindungsart	Hardback
Verlag	Kluwer Academic Publishers
Erscheinungsjahr	1997-12-31
Seitenanzahl	386
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis	Nicht verfügbar