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https://doi.org/10.2498/cit.1001399

Modeling and Optimization Techniques of Electronic Devices Using Genetic Algorithm

Sherif Michael

Puni tekst: engleski, pdf (651 KB) str. 311-315 preuzimanja: 1.345* citiraj
APA 6th Edition
Michael, S. (2008). Modeling and Optimization Techniques of Electronic Devices Using Genetic Algorithm. Journal of computing and information technology, 16 (4), 311-315. https://doi.org/10.2498/cit.1001399
MLA 8th Edition
Michael, Sherif. "Modeling and Optimization Techniques of Electronic Devices Using Genetic Algorithm." Journal of computing and information technology, vol. 16, br. 4, 2008, str. 311-315. https://doi.org/10.2498/cit.1001399. Citirano 05.03.2021.
Chicago 17th Edition
Michael, Sherif. "Modeling and Optimization Techniques of Electronic Devices Using Genetic Algorithm." Journal of computing and information technology 16, br. 4 (2008): 311-315. https://doi.org/10.2498/cit.1001399
Harvard
Michael, S. (2008). 'Modeling and Optimization Techniques of Electronic Devices Using Genetic Algorithm', Journal of computing and information technology, 16(4), str. 311-315. https://doi.org/10.2498/cit.1001399
Vancouver
Michael S. Modeling and Optimization Techniques of Electronic Devices Using Genetic Algorithm. Journal of computing and information technology [Internet]. 2008 [pristupljeno 05.03.2021.];16(4):311-315. https://doi.org/10.2498/cit.1001399
IEEE
S. Michael, "Modeling and Optimization Techniques of Electronic Devices Using Genetic Algorithm", Journal of computing and information technology, vol.16, br. 4, str. 311-315, 2008. [Online]. https://doi.org/10.2498/cit.1001399

Sažetak
A new method for developing a realistic physical model of any type of solid state device is presented. Application to model advanced multi-junction solar cells; Thermophotovoltaics; sensors; as well as other novel solid state devices are introduced in this presentation. The primary goal of multijunction solar cell design is to maximize the output power for a given solar spectrum [1-4]. 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 [5-7]. 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. This approach can similarly be utilized to optimize the parameters of any Solid state device to yield any desired performance.

Hrčak ID: 44583

URI
https://hrcak.srce.hr/44583

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