In this paper, a method based on genetic algorithms is proposed for improving the accuracy of solar cell parameters extracted using novel technique. We propose a computational based binary-coded genetic algorithm (GA) to extract the parameters (I0, Ip�h, n, Rs and Rs�h) for a single diode model of solar cell from its current-voltage (I-V) characteristic. The algorithm was implemented using Matlab as a programming tool and validated by applying it to the I-V curve synthesized from the literature using reported values. The characterization, current-voltage data used was generated by simulating a one-diode solar cell model of specified parameters. The new approach is based on formulating I-V equation of solar cell, with Lambert function, the parameter extraction as a search and optimization problem. Compared with other optimization techniques in literatures, the approach proposed for the determination of parameters are in good agreement. © 2020 - IOS Press and the authors. All rights reserved.