SBIR/STTR Research Award

Hybrid Forecasting Tool for Distriuted Mission Planning

Award identifier 68c04b39770665a2fc160d131d78fe6276c0babf9bcdc90955c185d1373fc450Awarding agency National Aeronautics and Space Administration

Award amount

$70,000

Program and phase

SBIR · Phase I

Award year

1994

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
Nienhaus & Associates, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Traditional project management relies on hierarchically structured projects. As organizations decentralize, the need for distributed planning increases concomitant with a greater need for communication. Operations planning through distributed simulation has been shown to be an appropriate means of organizational role playing. We propose as the innovation to apply a hybrid Genetic Algorithm and decision rules as the embedded decision mechanism within a distributed simulation environment. This provides a tool for forecasting performance of Mission Operations Systems in manned space flight operations, within the simulation, "what-if" framework.

Technology keywords

Not reported

Agency intelligence

National Aeronautics and Space Administration

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