MOUS Evolutionary Quick Planner (MUOS EQuiP)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N66001-09-M-1016
Agency Tracking Number: N083-222-0171
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: N08-222
Solicitation Number: 2008.3
Small Business Information
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
DUNS: 859244204
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Michael Perloff
 Sr. Research Engineer
 (781) 933-5355
Business Contact
 Michael Miselis
Title: Sr. Research Engineer
Phone: (781) 933-5355
Research Institution
Mobile User Objective System (MUOS) will provide warfighters with worldwide LPI, voice and data mobile communications. Manually configuring satellite systems - assigning carriers to satellite beams and subsequent communications traffic planning is a time-consuming tedious task. Accessing MUOS communication planning tools requires a SIPRNET connection and mastery of a complex application. Fast, lightweight beamcarrier assignment and communications planning applications, that can be executed in field and passed to COCOM for implementation, will shorten implementation times, increase reliability and availability, and ensure MUOS’ capability to provide assured, worldwide, on-demand, on-the-move communications to warfighters. In Phase I, we will develop MUOS-EQuiP, a Genetic Algorithm (GA) based tool to find and optimize beamcarrier assignments - quickly, without tedium. MUOS-EQuiP will also be a Quick Planner to test bandwidth apportionments against communications requirements. Our methods can easily be generalized to handle more factors and more complex, dynamic traffic scenarios. Scientific Systems (SSCI) has previously developed GA approaches for missile routing, attack planning, search planning, and medical scheduling. Our Phase III missile routing product, CMARS (Cruise Missile Autonomous Routing System) has been integrated into TPS (Tomahawk Planning System) and provides routes meeting many complex constraints in one or two minutes. Our proven experience in applying GA’s to complex planning problems ensures a successful Phase I demonstration, a successful, validated Phase II prototype, and a successful Phase III integration.

* Information listed above is at the time of submission. *

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