Game Theoretic Resource Optimization for Battle Management
Department of Defense
Missile Defense Agency
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AbstractWe propose a systems engineering based approach for battle management that utilizes a game theoretic resource optimization method. We explicitly consider adversary tactics in the two-sided optimization formulation. We propose an efficient parallel computing oriented optimization solution for the sensors-weapons-threat allocation problem. This addresses the real-time nature of the ascent-phase engagement scenario where time constraints are very stringent. Our model handles a wide variety of constraints including weather and cloud cover.
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