Abstract: In this study, a branch and bound algorithm is presented for globally solving a class of linear fractional programming problems. In the algorithm, a linear relaxation method is introduced to generate the linear relaxation programming problem of the investigated linear fractional programming problems. In this study, we pay more attention to the numerical experiments. Several test problems are used to verify the feasibility and computational efficiency of the proposed branch and bound algorithm.