Tightening a Network Interdiction Model
نویسندگان
چکیده
We describe a stochastic network interdiction model for deploying radiation detectors at border checkpoints to detect smugglers of nuclear material. The model is stochastic because the smuggler’s origin-destination pair, the type of material, and the level of shielding are known only through a probability distribution when the detectors are installed. We formulate a mixed-integer program for the special case in which the underlying network is bipartite and describe a reformulation and several enhancements which can significantly reduce computational effort.
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