For the problems that the individuals including fireworks and sparks are not well-informed in the process of searching optimum, and the algorithm yields a poor result when being applied on shifted functions whose optimum are not at the origin or near the origin,a hybrid fireworks algorithm with the gravitational search operator(FAGSO) is proposed. The operator improves the particles dimension information through the gravity between individuals. Simulation experiments are conducted on 6 standard and shifted benchmark functions. Results show that the hybrid algorithm displays better performance compared to the fireworks algorithm(FA), the particle swarm optimization(PSO) algorithm and the gravitational search algorithm(GSA).