Differential evolution (DE) and fireworks algorithm (FWA) are two good optimization algorithms. Each of them have many advantages and have been widely used. Yet it is also inadequate. DE is easy to fall into local optimization and its parameters are difficult to set. FWA is not enough to exploit the local space. In this paper, a hybrid algorithm which combines DE and FWA (FWADE) is presented. By mixing and randomly redistributing the population of DE and FWA in the process of evolution, FWADE has the virtues of DE and FWA. The algorithm has fast solution speed to find global solution. The paper describes the algorithm process of FWADE in detail. The presented algorithm is used to identify the parameters of double diode model of PV cell and the result is compared with that of DE and FWA. The result shows that the hybrid algorithm can get a better solution in parameters identification of double diode model of PV.
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