Game Theoretic Resource Optimization for Battle Management

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$1,000,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase II
Contract:
HQ0147-11-C-7750
Award Id:
n/a
Agency Tracking Number:
B2-1767
Solicitation Year:
2009
Solicitation Topic Code:
MDA09-026
Solicitation Number:
2009.3
Small Business Information
2310 Bamboo Drive STE J303, Arlington, TX, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
622975998
Principal Investigator:
VC Ramesh
Founder
(817) 213-6184
vcr@vcrsoft.com
Business Contact:
VC Ramesh
Founder
(817) 213-6184
vcr@vcrsoft.com
Research Institute:
Stub




Abstract
The resource allocation problem and the associated resource management solution is composed of three levels. At the highest level is the game theoretic mapping of alternative offense and defense actions, much like a chess game. At the next level is the large-scale efficient mathematical optimization formulation of the game theory matrix. At the last level is the solution of each optimization sub-problem using either traditional algorithms (such as Linear Programming, Mixed-Integer Programming etc.) or heuristic algorithms (such as Genetic Algorithms). From a systems engineering standpoint, we can envision this algorithm running in the C2BMC, every 15 minutes or so, based on real-time intelligence data on the adversary's moves. The algorithm itself would only a couple of minutes to run. The output will be the optimal resource allocation for the anticipated threat launch events.

* information listed above is at the time of submission.

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