DocumentCode :
3562752
Title :
Stackelberg network interdiction game: nodal model and algorithm
Author :
Kaiming Xiao ; Cheng Zhu ; Weiming Zhang ; Xiangyu Wei ; Songchao Hu
Author_Institution :
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
Network interdiction game is a class of Stackelberg games on networks. In this paper, we consider a extended shortest path network interdiction game in which the interdiction focuses on nodes. In this problem, the evader attempts to traverse the shortest path from the origin to destination, while the interdictor attempts to maximize the shortest path length by interdicting some nodes of the network with limited resources. we define the nodal shortest path network interdiction problem as a bilevel program and formulate it as a mixed integer program. A novel interdiction subgraph decomposition algorithm is proposed to solve this program. We use both simulated grid network and real transportation network data in the computational experiments, and the results show that the efficiency of proposed algorithm is improved a lot comparing with the existing algorithm. And the proposed algorithm can be used to solve general shortest path network interdiction problem with large scale.
Keywords :
game theory; integer programming; power grids; Stackelberg network interdiction game; decomposition algorithm; grid network; mixed integer program; shortest path network interdiction problem; transportation network data; Data models; Games; Inspection; Measurement; Minimization; Transforms; Vectors; Stackelberg game; bilevel program; network interdiction; shortest paths; subgraph decomposition algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Game Theory for Networks (GAMENETS), 2014 5th International Conference on
Print_ISBN :
978-0-9909-9430-5
Type :
conf
DOI :
10.1109/GAMENETS.2014.7043716
Filename :
7043716
Link To Document :
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