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Two-person zero-sum network-interdiction game with multiple inspector types

Authors: Unsal, Omur;

Two-person zero-sum network-interdiction game with multiple inspector types

Abstract

Wood (1995) to handle multiple types of interdiction assets (e.g., aircraft, ground-based inspection teams), referred to here as "inspectors." A single evader attempts to traverse a path between two vertices in a directed network while an interdictor, controlling inspectors of different types, attempts to detect the evader by assigning inspectors to edges in the network. Each edge has a known probability of detection if the evader traverses the edge when an inspector of a given type is present. The problem for the interdictor is to find a mixed inspector-to-edge assignment strategy that maximizes the average probability of detecting the evader, i.e., the "interdiction probability." The problem for the evader is to find a mixed "path-selection strategy" that minimizes the interdiction probability. The problem is formulated as a two-person zero-sum game with a surrogate objective that evaluates expected number of detections. That model is solved with a "direct solution procedure" and a "marginal-probability solution procedure." On numerous test problems, both procedures correctly compute expected number of detections, but the latter more often finds a solution that simultaneously optimizes interdiction probability. The latter procedure is also much faster and is therefore preferred.

Approved for public release; distribution is unlimited.

http://archive.org/details/twopersonzerosum109455334

Turkish Army author

Keywords

Computer games, Operations research, Computer programming

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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