Abstract
We start with a review of deterministic optimization problems in temporal networks.We then discuss three popular methodologies to model and solve generic optimization problems under uncertainty.We close with an overview of the issues that arise when these methodologies are applied to temporal networks, and we provide a survey of the relevant literature.More specific reviews of related work are provided in the Chaps.3–6.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wiesemann, W. (2012). Background Theory. In: Optimization of Temporal Networks under Uncertainty. Advances in Computational Management Science, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23427-9_2
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DOI: https://doi.org/10.1007/978-3-642-23427-9_2
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23426-2
Online ISBN: 978-3-642-23427-9
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