Genetic algorithm based optimization of advanced solar cell designs modeled in Silvaco AtlasTM
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Author
Utsler, James
Date
2006-09Advisor
Michael, Sherif
Michael, Bret
Second Reader
Weatherford, Todd
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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.
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