Paper Info
Title
Bayesian Stackelberg Game Model For Water Supply Networks Against Interdictions With Mixed Strategies
Abstract
We address a problem of preventing an interdiction on water supply networks by building a Bayesian Stackelberg game model involving stakeholders of a defender and an interdictor. The defender initiates to allocate resource to network components to make a trade-off between network resilience measured by water satisfaction rate and the defender's cost, whereas the interdictor follows to interdict a component with the objectives of maximising the destruction level on the network structure and minimising the interdictor's cost. Specifically, the defender adopts mixed defence strategies, which implies that the interdictor is uncertain of the defender's resource allocation. Moreover, we propose sufficient conditions for the elimination of the dominated defence and interdiction strategies. A decomposed iterative learning algorithm (DILA) and a smallest-depth binary-partition based hierarchical algorithm (SBHA) are developed to reduce the sizes of the defence and interdiction strategy sets, respectively, thus analysing the optimal mixed defence strategies. Finally, a real case study with private information is conducted, thus providing valuable suggestions for the defender's resource allocation against interdictions.
Year
DOI
Venue
2021
10.1080/00207543.2020.1735661
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Keywords
DocType
Volume
Bayesian Stackelberg game, water supply network, defence, interdiction, mixed strategy
Journal
59
Issue
ISSN
Citations 
8
0020-7543
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Jiuchun Jiang15210.24
Xiao LIU2598.40