GeneticAlgorithm-SolarCells
Single and Multi-layer Solar Cell Thickness Optimization With Genetic Algorithm (Energies 2020)
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We propose to use Genetic Algorithm (GA), inspired by Darwin's evolution theory, to optimize the search for the optimal thickness in organic solar cell's layers with regards to maximizing the short-circuit current density. The conventional method used in optimization simulations, such as for optimizing the optical spacer layers' thicknesses, is the parameter sweep. Our experiments show that the introduction of GA results in a significantly faster and accurate search method when compared to brute-force parameter sweep method in both single and multi-layer optimization.
READ FULL TEXTSingle and Multi-layer Solar Cell Thickness Optimization With Genetic Algorithm (Energies 2020)