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Advanced Constrained Optimization Algorithms Utilizing Next Generation…

Award Information

Agency:
Department of Defense
Branch:
Missile Defense Agency
Award ID:
86488
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
B073-045-0127
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Reservoir Labs., Inc.
632 Broadway, Suite 803 New York, NY -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: Advanced Constrained Optimization Algorithms Utilizing Next Generation Processors
Agency / Branch: DOD / MDA
Contract: W9113M-08-C-0117
Award Amount: $99,978.00
 

Abstract:

C2BMC systems must perform rapid automatic development of plans to assign and employ weapons in the face of BMD attacks; the systems that produce these plans are based on advanced constrained optimization solvers for extremely large problem instances. This proposal outlines a path toward developing scalable constrained optimization algorithm implementations utilizing next generation computational hardware. Specifically, we propose to investigate and develop algorithms that fuse some of the best features of propositional logic solvers with optimization algorithms for assignment and shortest path planning, and do to so in a manner that is amenable to parallelization and utilization of computational accelerators. The resulting technology will be exported as an open interface web service for a net centric planning architecture. The research and development will be performed with partner Lockheed Martin MS2, developers of the Aegis BMD capabilities.

Principal Investigator:

James Ezick
Senoir Engineer
2127800527
ezick@reservoir.com

Business Contact:

Melanie Peters
Business Manager
2127800527
peters@reservoir.com
Small Business Information at Submission:

RESERVOIR LABS., INC.
632 Broadway, Suite 803 New York, NY 10012

EIN/Tax ID: 061303098
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No