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2008

Reformulation and sampling to solve a stochastic network interdiction problem

8 years 4 months ago
Reformulation and sampling to solve a stochastic network interdiction problem
The Network Interdiction Problem involves interrupting an adversary's ability to maximize flow through a capacitated network by destroying portions of the network. A budget constraint limits the amount of the network that can be destroyed. In this paper, we study a stochastic version of the network interdiction problem in which the successful destruction of an arc of the network is a Bernoulli random variable, and the objective is to minimize the maximum expected flow of the adversary. Using duality and linearization techniques, an equivalent deterministic mixed integer program is formulated. The structure of the reformulation allows for the application of decomposition techniques for its solution. Using a parallel algorithm designed to run on a distributed computing platform known as a computational grid, we give computational results showing the efficacy of a sampling-based approach to solving the problem.
Udom Janjarassuk, Jeff Linderoth
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2008
Where NETWORKS
Authors Udom Janjarassuk, Jeff Linderoth
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