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Evolutionary Algorithm-based Counterspace Operations Training System

Award Information

Agency:
Department of Defense 		Branch:
Air Force 		Award ID:
79283 		Program Year/Program:
2006 / SBIR
Agency Tracking Number:
F061-027-0660 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Charles River Analytics Inc.
625 Mount Auburn Street Cambridge, MA 02138
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: Evolutionary Algorithm-based Counterspace Operations Training System
Agency / Branch: DOD / USAF
Contract: FA8650-06-M-6684
Award Amount: $99,570.00
 

Abstract:

The space segment forms a critical element of our global military dominance. With support for ISR, navigation, communications, and targeting for military operations, we have an ever-burgeoning reliance on our space systems. This reliance provides a potential opportunity to our adversaries to mitigate and attack our key space segment nodes. Additionally, the potential militarization of space by our adversaries only further exacerbates this vulnerability. To that end, the US Air Force is placing a heavy emphasis on maintaining space superiority by both refining doctrine and developing command and control and decision supports systems for protecting our space infrastructure. An associated emphasis must also be placed on the warfighter engaged in space operations, and specifically the associated training required by such counterspace operators. To address this opportunity in the Air Force counterspace military training domain, we propose to design and prototype an Evolutionary Algorithm-based Counterspace Operations Training System (EACOTS). EACOTS incorporates an evolutionary algorithm-based scenario generation and analysis component to stimulate appropriate training user responses and to achieve a real-time environment for enhanced OCS/DCS training. Additionally, the proposed system leverages our on-going work with AFRL/VS to develop counterspace decision support systems and with AFRL/HE to develop intuitive counterspace user interfaces.

Principal Investigator:

Paul G. Gonsalves
Principal Scientist
6174913474
pgonsalves@cra.com

Business Contact:

Greg L. Zacharias
President
6174913474
glz@cra.com
Small Business Information at Submission:

CHARLES RIVER ANALYTICS, INC.
625 Mount Auburn Street Cambridge, MA 02138

EIN/Tax ID: 042803764
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
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