Network routing for insurgency: An adversarial risk analysis framework
Publication
, Journal Article
Wang, S; Banks, D
Published in: Naval Research Logistics
September 1, 2011
Problems in counterterrorism and corporate competition have prompted research that attempts to combine statistical risk analysis with game theory in ways that support practical decision making. This article applies these methods of adversarial risk analysis to the problem of selecting a route through a network in which an opponent chooses vertices for ambush. The motivating application is convoy routing across a road network when there may be improvised explosive devices and imperfect intelligence about their locations. © 2011 Wiley Periodicals, Inc.
Duke Scholars
Published In
Naval Research Logistics
DOI
EISSN
1520-6750
ISSN
0894-069X
Publication Date
September 1, 2011
Volume
58
Issue
6
Start / End Page
595 / 607
Related Subject Headings
- Logistics & Transportation
- 4901 Applied mathematics
- 3509 Transportation, logistics and supply chains
- 1503 Business and Management
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics
Citation
APA
Chicago
ICMJE
MLA
NLM
Wang, S., & Banks, D. (2011). Network routing for insurgency: An adversarial risk analysis framework. Naval Research Logistics, 58(6), 595–607. https://doi.org/10.1002/nav.20469
Wang, S., and D. Banks. “Network routing for insurgency: An adversarial risk analysis framework.” Naval Research Logistics 58, no. 6 (September 1, 2011): 595–607. https://doi.org/10.1002/nav.20469.
Wang S, Banks D. Network routing for insurgency: An adversarial risk analysis framework. Naval Research Logistics. 2011 Sep 1;58(6):595–607.
Wang, S., and D. Banks. “Network routing for insurgency: An adversarial risk analysis framework.” Naval Research Logistics, vol. 58, no. 6, Sept. 2011, pp. 595–607. Scopus, doi:10.1002/nav.20469.
Wang S, Banks D. Network routing for insurgency: An adversarial risk analysis framework. Naval Research Logistics. 2011 Sep 1;58(6):595–607.
Published In
Naval Research Logistics
DOI
EISSN
1520-6750
ISSN
0894-069X
Publication Date
September 1, 2011
Volume
58
Issue
6
Start / End Page
595 / 607
Related Subject Headings
- Logistics & Transportation
- 4901 Applied mathematics
- 3509 Transportation, logistics and supply chains
- 1503 Business and Management
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics