Using Sensors to Interdict Nuclear Material Smuggling

نویسندگان

  • David P. Morton
  • Feng Pan
چکیده

We describe a stochastic network interdiction model for locating sensors that detect nuclear material. A nuclear material smuggler selects a path through a transportation network that maximizes the probability of avoiding detection. An interdictor installs sensors to minimize that maximum probability. We formulate this problem as a bi-level stochastic mixed-integer program, and then focus on a special case in which the underlying network is bipartite. We show that a class of valid inequalities, called step inequalities, can significantly reduce computational effort.

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تاریخ انتشار 2005