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.
| Identifer | oai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/2533 |
| Date | 09 1900 |
| Creators | Utsler, James |
| Contributors | Michael, Sherif, Michael, Bret, Weatherford, Todd, Naval Postgraduate School (U.S.)., Department of Electrical and Computer Engineering |
| Publisher | Monterey California. Naval Postgraduate School |
| Source Sets | Naval Postgraduate School |
| Detected Language | English |
| Type | Thesis |
| Format | xviii, 89 p. : ill., application/pdf |
| Rights | Approved for public release, distribution unlimited |
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