Taguchi’s method is introduced to perform multiobjective optimization of fiber Raman amplifier (FRA). The optimization requirements are to maximize gain and keep gain ripple minimum over the operating bandwidth of a wavelength division multiplexed (WDM) communication link. Mathematical formulations of FRA and corresponding numerical solution techniques are discussed. A general description of Taguchi’s method and how it can be integrated with the FRA optimization problem are presented. The proposed method is used to optimize two different configurations of FRA. The performance of Taguchi’s method is compared with genetic algorithm and particle swarm optimization in terms of output performance and convergence rate. Taguchi’s method is found to produce good results with fast convergence rate, which makes it well suited for the nonlinear optimization problems.