Dynamic Operational Re-Tasking of ISR Sensors

Improved command and control of ISR assets, to include scheduling and re-tasking those assets in a multi-objective operational environment with multiple resource, spatial, temporal, and operational constraints, will be necessary to realize fully thebenefits of future ISR capabilities envisioned by Joint Vision 2020. The ISR asset scheduling and re-tasking problem is extremely complex and falls into a notoriously difficult to solve class of mathematical problems. Typically, solutions to this class ofproblems are either non-optimal or not attainable in reasonable time, or both. This project will develop and thoroughly test an adaptive hybrid intelligent system for real-time optimal scheduling and re-tasking of ISR assets in a realistic operationalscenario involving a diverse set of ISR assets fitted with various sensors. The Phase I effort will prove the concept of this hybrid system and culminate in an end-of-phase proof of concept demonstration. Phase II will develop an operating prototypesystem.An adaptive hybrid intelligent scheduling and re-scheduling technology will be attractive to any organization that has to deal with large complex scheduling problems, such as supply chain and manufacturing firms, and transportation/shipping firms.