The field of materials technology has been witnessing tremendous developments. Friction welding is an important solid state joining technique. In this research study, friction welding of tube to tube plate using an external tool has been performed and the process parameters are optimized by Taguchi L8 orthogonal array. The prioritization of the process parameters has been obtained and ANOVA has been conducted to predict the statistical significance of the process parameters. This is followed by the optimization of welding process parameters using genetic algorithm. The practical feasibility of applying Genetic Algorithm to friction welding process has been ensured by means of studying the deviation between predicted and experimentally obtained welding process parameters.