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A Darwinian approach to control-structure designGenetic algorithms (GA's), as introduced by Holland (1975), are one form of directed random search. The form of direction is based on Darwin's 'survival of the fittest' theories. GA's are radically different from the more traditional design optimization techniques. GA's work with a coding of the design variables, as opposed to working with the design variables directly. The search is conducted from a population of designs (i.e., from a large number of points in the design space), unlike the traditional algorithms which search from a single design point. The GA requires only objective function information, as opposed to gradient or other auxiliary information. Finally, the GA is based on probabilistic transition rules, as opposed to deterministic rules. These features allow the GA to attack problems with local-global minima, discontinuous design spaces and mixed variable problems, all in a single, consistent framework.
Document ID
19930009651
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Zimmerman, David C.
(Florida Univ. Gainesville, FL, United States)
Date Acquired
September 6, 2013
Publication Date
February 1, 1993
Publication Information
Publication: NASA. Langley Research Center, The Fifth NASA(DOD Controls-Structures Interaction Technology Conference, Part 1
Subject Category
Cybernetics
Accession Number
93N18840
Funding Number(s)
CONTRACT_GRANT: NAG1-1017
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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