Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM
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Authors
Utsler, James
Subjects
Advisors
Michael, Sherif
Michael, Bret
Date of Issue
2006-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
A genetic algorithm was used to optimize the power output of multi-junction solar cells. Solar cell operation was modeled using the Silvaco ATLASTM software. The output of the ATLASTM simulation runs served as the input to the genetic algorithm. The genetic algorithm was run as a diffusing computation on a network of eighteen dual processor nodes. Results showed that the genetic algorithm produced better power output optimizations when compared with the results obtained using the hill climbing/gradient approach.
Type
Thesis
Description
Series/Report No
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
xviii, 89 p. : ill.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.