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).
A. Migdalas & Panos M. Pardalos
Multilevel Optimization: Algorithms and Applications [PDF ebook]
Multilevel Optimization: Algorithms and Applications [PDF ebook]
Acquista questo ebook e ricevine 1 in più GRATIS!
Lingua Inglese ● Formato PDF ● ISBN 9781461303077 ● Editore A. Migdalas & Panos M. Pardalos ● Casa editrice Springer US ● Pubblicato 2013 ● Scaricabile 3 volte ● Moneta EUR ● ID 4721415 ● Protezione dalla copia Adobe DRM
Richiede un lettore di ebook compatibile con DRM