GA is considered to be a heuristic, stochastic, combinatorial, optimization technique based on the biological process of natural evolution developed by Holland (1975) . Goldberg (1989) and Michalewicz (1992) discussed the mechanism and robustness of GA in solving nonlinear optimization problems.Three heuristic processes of reproduction, crossover, and mutation are applied probabilistically to discrete decision variables that are coded into binary or real numbers strings.n this article, GA will be utilized effectively to determine the weights corresponding to various connections.