In studies that use metaheuristics although the input parameters directly influence the performance of the algorithm its definition is mostly done manually raising questions about the quality of the results. This paper aims to apply the F/I-Race in the self parameterization of GRASP with Path-Relinking in the data clustering in order to obtain better results than the manually tuned algorithms. Experiments performed with five data sets showed that the use of I/F-race contributed to achievement best results than manual tuning
