OptForceT: New Human Resource Optimization Methods

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$750,000.00
Award Year:
2005
Program:
STTR
Phase:
Phase II
Contract:
N00014-05-C-0017
Agency Tracking Number:
N033-0022
Solicitation Year:
2003
Solicitation Topic Code:
N03-T004
Solicitation Number:
n/a
Small Business Information
OPTTEK SYSTEMS, INC.
1919 Seventh Street, Boulder, CO, 80302
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
135556848
Principal Investigator:
Dr. Keith Womer
Director
(662) 915-5497
kwomer@bus.olemiss.edu
Business Contact:
Jay April
Chief Development Officer
(303) 447-3255
april@opttek.com
Research Institution:
UNIV. OF MISSISSIPPI
Keith Womer
Hearin Center
University, MS, 38677
(662) 915-5497
Nonprofit college or university
Abstract
OptTek Systems, Inc. is developing new software to significantly enhance optimization applications. The software, called OptForce, incorporates a sophisticated Meta-Structured Optimization (MSO) approach directly into the representation of the decision-making process. It has been demonstrated to be more effective than traditional mixed integer programming and heuristic solvers. Coupled with simulation, it enables a virtually unlimited number of what-if questions to be asked and their answers to be sorted and prioritized efficiently and accurately. MSO is based on a unique algorithm that integrates the two extreme ends of the optimization spectrum, involving the very general and the highly special. The procedure is designed to carry out a special "non-monotonic search," where the successively generated inputs produce varying evaluations, which over time provide a highly efficient trajectory to the best solutions. MSO represents a departure that does not depend on classical rules for generating a mixed zero-one formulation. Its use of layered envelopes (LEVER) is better suited to handling real world complexity. By avoiding identifying in advance the domains of the variables over which the approximation operates -- and more specifically, avoiding identifying the subdomains that characterize regions where the function takes different forms, MSO gives rise to a previously unequalled optimization capability.

* information listed above is at the time of submission.

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