Hybrid Forecasting Tool for Distriuted Mission Planning

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: N/A
Agency Tracking Number: 22630
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 1994
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
201 Creekview Drive, Greenfield, IN, 46140
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Thomas G. Nienhaus, Jr.
 (317) 462-5805
Business Contact
Phone: () -
Research Institution
N/A
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.

* Information listed above is at the time of submission. *

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