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dc.contributor.authorMichael, Sherif
dc.dateJuly 23-25, 2007
dc.date.accessioned2015-09-10T22:22:58Z
dc.date.available2015-09-10T22:22:58Z
dc.date.issued2007-07
dc.identifier.urihttp://hdl.handle.net/10945/46455
dc.descriptionProceedings of the 11th WSEAS International Conference on CIRCUITS, Agios Nikolaos, Crete Island, Greece, July 23-25, 2007en_US
dc.description.abstractThe primary goal of multijunction solar cell design is to maximize the output power for a given solar spectrum. The construction of multijunction cells places the individual junction layers in series, thereby limiting the overall output current to that of the junction layer producing the lowest current. The solution to optimizing a multijunction design involves both the design of individual junction layers which produce an optimum output power and the design of a series-stacked configuration of these junction layers which yields the highest possible overall output current. This paper demonstrates the use of Genetic Algorithm in a two-part process to refine a given multijunction solar cell design for near-optimal output power for a desired light spectrum.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleApplication of Genetic Algorithm in Optimization of Advanced Photovoltaic Devicesen_US
dc.typeArticleen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.subject.authorPhotovoltaicsen_US
dc.subject.authorMultijunction Cellsen_US
dc.subject.authorModelingen_US
dc.subject.authorOptimizationen_US
dc.subject.authorGenetic Algorithmen_US


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