Abstract
A new optimization algorithm,GA-AFSA,was proposed by integrating Genetic Algorithm(GA) and Artificial Fish Swarm Algorithm(AFSA) to fit for the mathematic model of I-V curve of solar cell.It maintained the global optimization advantages of GA and quick convergence of AFSA while overcoming the defects of GA's slow convergence and AFSA's stepping without a definite purpose.By fitting the five important parameters of I-V curve,namely the photo-generated current of solar cell,quality factor of diode,series resistance,reverse saturation current and shunt resistance,GA-AFSA made a great improvement.Compared with the existing algorithm,the new one has a higher precision and a rapid convergence speed.
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