Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM

Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM

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 comput...

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Bibliographic Details
Main Author: Utsler, James
Other Authors: Michael, Sherif
Format: Others
Published: Monterey California. Naval Postgraduate School 2012
Subjects:
Electrical engineering
Genetics
Algorithms
Solar cells
Computer programs
Online Access:http://hdl.handle.net/10945/2533
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-25332017-05-24T16:07:47Z Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM Utsler, James Michael, Sherif Michael, Bret Weatherford, Todd Naval Postgraduate School (U.S.). Department of Electrical and Computer Engineering Electrical engineering Genetics Algorithms Solar cells Computer programs 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. 2012-03-14T17:35:29Z 2012-03-14T17:35:29Z 2006-09 Thesis http://hdl.handle.net/10945/2533 74661226 Approved for public release, distribution unlimited xviii, 89 p. : ill. application/pdf Monterey California. Naval Postgraduate School
collection NDLTD
format Others
sources NDLTD
topic Electrical engineering
Genetics
Algorithms
Solar cells
Computer programs
spellingShingle Electrical engineering
Genetics
Algorithms
Solar cells
Computer programs
Utsler, James
Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM
description 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.
author2 Michael, Sherif
author_facet Michael, Sherif
Utsler, James
author Utsler, James
author_sort Utsler, James
title Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM
title_short Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM
title_full Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM
title_fullStr Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM
title_full_unstemmed Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM
title_sort genetic algorithm based optimization of advanced solar cell designs modeled in silvaco atlastm
publisher Monterey California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/2533
work_keys_str_mv AT utslerjames geneticalgorithmbasedoptimizationofadvancedsolarcelldesignsmodeledinsilvacoatlastm
_version_ 1718453066343120896

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