Date: | 11:20-12:00, Thursday, March 26, 2009 |
Venue: | FIT Building 1-315, Tsinghua University |
Title: | Network interdiction |
Speaker: | Daniel Andersson |
Biography: |
Daniel Andersson got his master degree in science of computer science in Uppsala University in Sweden in 2006. Now he is a PhD scholar in Department of computer science in Aarhus University in Denmark. He won the second place in the 2008 ACM Nordic Collegiate Programming Contest. |
Abstract: |
Network interdiction is a type of zero-sum game where one player (the interdictor) wants to decrease the usefulness of a network to the other (the user). This is a classic problem type in operations research, but solution methods typically resort to mixed integer programming.
Khachiyan et al. (2008) consider network interdiction where the user wants to build a minimum-weight path and the interdictor can remove edges subject to vertex-local budgets. They show that optimal strategies can be efficiently computed with a modified Dijkstra's algorithm.
We extend the model of Khachiyan et al. in two directions, by allowing partial interdiction of edges and various ways to define the weight of a path, and we show that efficient algorithms still exist.
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