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Darwinian Spacecraft: Soft Computing Strategies Breeding Better, Faster CheaperComputers can create infinite lists of combinations to try to solve a particular problem, a process called "soft-computing." This process uses statistical comparables, neural networks, genetic algorithms, fuzzy variables in uncertain environments, and flexible machine learning to create a system which will allow spacecraft to increase robustness, and metric evaluation. These concepts will allow for the development of a spacecraft which will allow missions to be performed at lower costs.
Document ID
19990103604
Acquisition Source
Marshall Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Noever, David A.
(NASA Marshall Space Flight Center Huntsville, AL United States)
Baskaran, Subbiah
(NASA Marshall Space Flight Center Huntsville, AL United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1999
Subject Category
Computer Programming And Software
Meeting Information
Meeting: Advanced Propulsion
Location: Huntsville, AL
Country: United States
Start Date: April 6, 1999
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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