The repair work of archaeological artifacts broken into pieces contains positioning problems. Therefore, an intelligent computer-assisted system was proposed to rebuild archaeological discoveries from fragments. A real coded genetic algorithm (GA) and a hill-climbing algorithm was evaluated to reconstruct a 3D object. The fitness function value for the GA was computed from image features of the object. The proposed method based on the GA with the image features was able to efficiently regulate the 3D surfaces. In further researches, the proposed method for 3D remodeling should be applied to practical applications.