The golden ratio is a ratio used popularly and is a standard to evaluate the beauty in architecture. This ratio appears in the fundamental rule and satisfies sustainable conditions to form and structural geometries in nature. This study will approve a valuable characteristic of the golden ratio when applied for optimizing the cold-formed steel sections’ geometries. The optimized problem is established by combining the parametric design software, such as Rhino grasshopper and 3D Karamba, with an applied Octopus. The post-optimized geometric sections archive symmetric forms and high strength when a typical C section combines each other based on the golden ratio. Besides, the proposed sections are evaluated with the experimental results using a finite element analysis to increase the proposed approach’s reliability. This study performs reliable and robust parametric design tools, especially with every analysis step in the optimized process. We will create collected data to build a predicted model about geometries and the strength curves of structures using Machine Learning Tools in later research