Thin walled Steel products are very much used in the construction industry, where it is cold formed from uniform thickness steel plates. This study aims at determining the optimal section of cold formed thin walled lipped C compressed member under the effect of several levels of axial force using Genetic Algorithm. The research found that the genetic algorithm is able to resolve the issue of the optimal design of studied column with high efficiency, accuracy. Also it found that the torsional flexural buckling constraint and the overall buckling constraint in x-direction are the effective constraints in case of long height. The study recommends restudying the same issue as a multi objective optimization problem by adding additional objective functions which are the overall buckling in x&y directions.