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Automatic Nanodesign Using Evolutionary TechniquesMany problems associated with the development of nanotechnology require custom designed molecules. We use genetic graph software, a new development, to automatically evolve molecules of interest when only the requirements are known. Genetic graph software designs molecules, and potentially nanoelectronic circuits, given a fitness function that determines which of two molecules is better. A set of molecules, the first generation, is generated at random then tested with the fitness function, Subsequent generations are created by randomly choosing two parent molecules with a bias towards high scoring molecules, tearing each molecules in two at random, and mating parts from the mother and father to create two children. This procedure is repeated until a satisfactory molecule is found. An atom pair similarity test is currently used as the fitness function to evolve molecules similar to existing pharmaceuticals.
Document ID
20020061358
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Globus, Al
(MRJ Technology Solutions, Inc. Moffett Field, CA United States)
Saini, Subhash
Date Acquired
August 20, 2013
Publication Date
January 1, 1998
Subject Category
Solid-State Physics
Meeting Information
Meeting: IBC Nano Conference
Location: San Fransico, CA
Country: United States
Start Date: December 6, 1998
End Date: December 7, 1998
Funding Number(s)
CONTRACT_GRANT: NAS2-14303
PROJECT: RTOP 519-40-12
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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