SBIR/STTR Research Award

Genetic Algorithm Allocation and Assignment Tool for Missile Defense Battle Management

Award identifier e122fd658b72b364b55e3d598ff8b5d096de39957e56945f6d604bfe089bf81fAwarding agency Department of Defense · Missile Defense Agency

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2008

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
SCIENTIFIC SYSTEMS COMPANY, INC.
Proposal award date
2008-02-13
Contract end date
2009-08-13
UEI
C12TQVKF5413
Solicitation number
2007.3
Topic code
MDA07-045

Research abstract

An increasing number of countries are acquiring nuclear, biological, and chemical weapons together with missile systems that enable them to deliver these weapons beyond their borders. Short response times require effective, efficient planning tools for resource and weapons allocation, assignment, and placement so that these tasks can be executed effectively in a highly stressed environment with many potential targets and high uncertainty. Under this effort, we will develop a comprehensive, practical Genetic Algorithm (GA) based solution whose intrinsic representation accounts for attack and tracking uncertainty and weapons capability, supports shoot-look-shoot and contains event-driven alternatives. Scientific Systems (SSCI) has previously developed GA approaches for problems in missile routing, attack planning, search, and medical scheduling. The missile routing product, CMARS (Cruise Missile Autonomous Routing System) has been integrated into the Tomahawk Planning System (TPS) and is undergoing Phase III development. Our project team includes Prof. Dimitri Bertsekas of MIT, and Lockheed Martin Tactical Systems (LMTS). Prof. Bertsekas, a leading expert in optimization techniques, will aid us in formulating, testing and validating our methods, comparing them with other methods, and, if needed, in real-time, parallel, distributed implementation. LMTS will provide expertise in complex multi-target tracking, identification, and discrimination and knowledge of Missile Defense (MD) interceptors and strategies. The team's combined proven experience in advanced Genetic Algorithms, optimization techniques, advanced multi-target tracking techniques, and their knowledge of MD interceptors will ensure a successful demonstration in Phase I of a flexible, and effective Genetic Algorithm tool for Missile Defense (MD) weapons allocations and assignment, followed by development and thorough testing in Phase II, and successful transition to DoD and commercial products in Phase III. Raytheon also supports this effort and is interested in working with us in transitioning to Phase II and III applications.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

464 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $186,567,405. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Energy, Department of Health and Human Services, Department of Homeland Security

Agency intelligence

Department of Defense

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