Metaheuristic Optimization of Perovskite Solar Cell using Hybrid L32 Taguchi Doe-Based Genetic Algorithm
DOI:
https://doi.org/10.37934/ard.122.1.219233Keywords:
Genetic algorithm, L32 Taguchi DoE, multiple linear regression, power conversion efficiencyAbstract
Solar cells convert sunlight into electricity, and the efficiency of this conversion process largely depends on the material parameters. Optimizing these parameters, like thickness and carrier concentration, could significantly increase the efficiency of solar cells. This paper emphasizes the metaheuristic optimization approach in searching for the optimum input parameters of perovskite solar cell (PSC).Downloads
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