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The Synthetic Theater Operations Research Model (STORM) simulatestheater-level conflict and requires inputs about utilization of surveillancesatellites to search large geographical areas. We develop a mixed-integerlinear optimization model that prescribes plans for how satellites and theirsensors should be directed to best search an area of operations. It alsospecifies the resolution levels employed by the sensors to ensure a suitablefidelity of the resulting images. We solve large-scale instances of the modelinvolving up to 22 million variables and 11 million constraints in scenariosderived from STORM. On average, the model yields 55% improvement in searchcoverage relative to an existing heuristic algorithm in STORM.

Optimizing Surveillance Satellites for the Synthetic Theater Operations Research Model