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MOUS Evolutionary Quick Planner (MUOS EQuiP)

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
92342
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
N083-222-0171
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA 01801-
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: MOUS Evolutionary Quick Planner (MUOS EQuiP)
Agency / Branch: DOD / NAVY
Contract: N66001-09-M-1016
Award Amount: $70,000.00
 

Abstract:

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.

Principal Investigator:

Michael Perloff
Sr. Research Engineer
7819335355
michael.perloff@ssci.com

Business Contact:

Michael Miselis
Sr. Research Engineer
7819335355
contracts@ssci.com
Small Business Information at Submission:

SCIENTIFIC SYSTEMS CO., INC.
500 West Cummings Park - Ste 3000 Woburn, MA 01801

EIN/Tax ID: 043053085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No