Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2011.1908.1916RenBingqun ZhongWeizhou 1020111010As a novel optimization method, chaos has gained lots of attentions and applications in the past few years. Chaos movement can go through all states unrepeated according to the rule of itself in some area. It was introduced into the optimization strategy to accelerate the optimum seeking operation in this study. A chaos based particle swarm optimization strategy was developed to solve multi-objective optimization problems. The proposed approach is validated using several benchmark test functions and metrics on evolutionary multi-objective optimization. Results demonstrate the effectiveness and efficiency of the proposed strategy and that can be considered a viable alternative to solve multi-objective optimization problems.]]>Ahmed, B.S. and K.Z. Zamli,2011Coello, C.A.C., G.T. Pulido and M.S. Lechuga,2004Cui, Z.H., J.C. Zeng and G.J. Sun,2006Deb, K., A. Pratap, S. Agarwal and T. Meyarivan,2002Deb, K.,1999Fonseca, C.M. and P.J. Fleming,1995Fang, X., X. Gao, Z. Yin and Q. Zhao,2011Chen, G.,2011Heng, X.C., Z. Qin, X.H. Wang and L.P. Shao,2006Lu, H. and X. Chen,2011Kennedy, J. and R. Eberhart,1995Liu, D.S., K.C. Tan, C.K. Goh and W.K. Ho,2007Moon, F.C.,1992Parsopoulos, K.E. and M.N. Vrahatis,2002Hernane, S., Y. Hernane and M. Benyettou,2010Tong, Z., W. Hongwei and W. Zicai,1999Yadong, L. and L. Shaoyuan,2002Yang, L.Y., J.Y. Zhang and W.J. Wang,2009Zitzler, E., M. Laumanns and L. Thiele,2002Zitzler, E., L. Thiele, M. Laumanns, C.M. Fonseca and V.G. da Fonseca,2003Zuo, X.Q. and Y.S. Fan,2006