Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2013.7616.7620HuangAnkun LiDongmei LuKuan 1220131223For an intelligent test-sheet composition system, compared with the traditional test-sheet composition using genetic algorithm, cellular genetic algorithm can significantly improve the convergence velocity and further improve the convergence in the process. However, in the process of mutating, both the diversity index of cellular population and the possibility of escaping from local-best will be decreased. Therefore, this study proposes a cellular genetic algorithm with an improved evolutionary rule applied in the process of test-sheet composition. Experimental results show that the convergence velocity is improved and the speed of decreasing diversity index of cellular population is delayed.]]>Nebro, A.J., J.J. Durillo, F. Luna, B. Dorronsoro and E. Alba,20097726746Canyurt, O.E. and P. Hajela,201040201214Holland, J.H.,19758th Edn.,Pages: 185Pages: 185Kamkar, I., M.T. Poostchi and R.A.T. Mohammad,201075263270Kari, J.,2005334333Kirley, M., X.D. Li and G.D. Green,19991999pp: 9097Lin, H.Y., J.M. Su and S.S. Tseng,20122012Liu, Y.F. and S.Y. Liu,201037225226Lu, K., D.M. Li, J. Yu and J.X. Wang,2013495760Lu, Y.H. and H. Liu,200523232233Lu, Y.M., M. Li and L. Li,20103816031607Song, W. and Q. Liu,200836135139Xiao, G.X., W.C. Zhao, W. Zhu and J.H. Zheng,201238150152