This paper investigated the rule table optimization of fuzzy power systemstabilizer (FPSS) benefiting from rule basis of related previous studies. Inthe previous studies, fuzzy rules for Power System Stabilizer (PSS) wereobtained by trial and error according to the experience of experts. There werea few rule tables occurred in that way in the literature. In this subjectfield, five rule tables with a few differences among them were taken. Geneticalgorithm (GA) was employed as an optimization method, and single machineinfinite bus (SMIB) model was used for simulation system. This work proposed tocontribute optimization performance of FPSS adding these rule tables to theinitial population of GA. Thus GAs reached an optimum solution more quickly. Simulationstudies and ITAE performance results for four loading conditions were shown. Theeffectiveness of the proposed approach was discussed by comparing it with thefive rule tables.