Abstract
In this chapter, we study an optimization problem that is defined on a temporal network and that aims to simultaneously optimize several conflicting objectives: the network’s makespan, the resource costs, as well as the availability and reliability of the network. The availability and reliability of the network will be expressed as decision-dependent probabilities, whereas the network’s makespan and the associated resource costs will be modeled as decision-dependent random variables. The model minimizes the conditional value-at-risk (CVaR) of the makespan and resource costs while imposing constraints on the availability and reliability of the network.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wiesemann, W. (2012). Multi-Objective Optimization via Conditional Value-at-Risk. 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_4
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DOI: https://doi.org/10.1007/978-3-642-23427-9_4
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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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