Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2007.380.385ChongK.H.ArisI.B.SinanM.A.HamiruceB.M.3200773In this study, a new method for automatic optimization of digital circuit design method has been introduced. This method is base on randomized search techniques mimicking natural genetic evolution. The proposed method is an iterative procedure that consists of a constant-size population of individuals, each one encoding a possible solution in a given problem space. The structure of the circuit is encoded into one-dimensional genotype as represented by a finite string of bits. A number of bit string used to represent 8 types of possible logic gates, Wire 1, Wire 2, NOT 1, NOT 2, XOR, XNOR, NAND, NOR, AND and OR. The structure of gates are arranged in a m * n matrix form which m is the number of input variables. The experimental results have shown that this method can produce the circuit design base on user specified performance requirement. The representation approach also has been implemented with a computer program which can give better achievement in terms of quality solution and speed of convergence.]]>Goldberg, D.E.,1989Holland, J.H.,1992Louis, S.J.,1993Mano, M.M.,2002Nilagupta, P. and N. Ou-Thong,2003Sadiq, M.S., M. Abd-El-Barr, U. Al-Saiari and B.A.B. Sarif,2002Zebulum, R.S., M.A.C. Pacheco and M.M.B.R. Vellasco,2002