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- W2337987370 abstract "In this work we deal with a network subject to rando m edge failures and study the problem of optimally determining the set of links to be reinforced so as to minimize the sum of investment and expected flow costs. The problem arises, for example, within the context of humanitarian logistics in disaster-prone areas where mitigating measures must be undertaken to increase network resiliency and guarantee the provision of help to the population. The problem is formulated as a mixed integer non-linear program and belongs to the class of stochastic programming problems with endogenous uncertainty ‐ i.e., those in which the probability distribution of the random parameters is decision-dependent. The proposed approach includes a convexification technique for polynomials of binary variables, an efficient cut-generation algorithm and the incorporation of importance sampling concepts into the stochastic programming framework so as to allow the solution of large instances of the problem." @default.
- W2337987370 created "2016-06-24" @default.
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- W2337987370 date "2012-01-01" @default.
- W2337987370 modified "2023-09-27" @default.
- W2337987370 title "NETWORK RESILIENCY AND REINFORCEMENT DECISIONS IN DISASTER-PRONE AREAS" @default.
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