Document Type : Research paper

**Authors**

Departement of Electrical power and Machine Engineering, College of Engineering, Diyala University, Iraq

**Abstract**

Solar cell efficiency considers an important part of the PV system, the parameters (I_{o}, I_{L}, n, R_{s, }and R_{sh}) of solar cell is the main part that effected on efficiency. The Matlab simulation program was used to estimate the three parameters' optimization values and evaluated by the Fminsearch method, they calculated for solar cells measured from 0^{o}C to 100^{o}C for seven temperatures, then make comparing for the results between the Genetic Algorithm method with Neural Network Algorithm. This paper establishes the results are frequently in GA was better than NNA, with the I_{o} being 3.0992 e^{-7 }and I_{L} being 3.8059 found by GA. GA is good if they have the same population size and number of iterations. The value of the objective function (fval) in GA is 0.002856 but in NNA is 0.005518. And also second objective function (fvaltemp) in GA is 0.1035 with a 0.1069 value in NNA. From the side, the execution time considers in the Fminsearch method is less than NNA and GA that being 64.9 s, 781 s, and 289 s respectively.

**Keywords**

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Articles in Press, Corrected Proof

Available Online from 13 December 2022

**Receive Date:**24 April 2022**Revise Date:**21 July 2022**Accept Date:**21 August 2022**First Publish Date:**13 December 2022