Optimization of Temporal Networks under Uncertainty

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Éditeur :

Springer


Collection :

Advances in Computational Management Science

Paru le : 2012-01-04

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Description
Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.
Pages
160 pages
Collection
Advances in Computational Management Science
Parution
2012-01-04
Marque
Springer
EAN papier
9783642234262
EAN EPUB
9783642234279

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
1987 Ko
Prix
94,94 €