In recent years, metaheuristic optimization methods have attracted significant attention from researchers due to their outstanding capabilities in solving various problems, particularly in the optimization of steel frames. However, most previous studies have focused solely on evaluating the performance of these methods and their theoretical aspects, while their practical applications have been less explored. This study aims to investigate and apply the Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA) in the optimization of steel structures to present a practical method for design engineers. In this research, these algorithms were automated and developed using programming in the MATLAB environment to achieve the optimal design of steel frames, considering the design constraints of the AISC-LRFD code. This method, with the help of the application programming interface of the ETABS2016 software, enables direct interaction with the program’s inputs and outputs. Through this approach, frame optimization is performed while considering practical and computational constraints. This research attempts to transform metaheuristic algorithms into practical tools for structural engineers to design more economical structures that comply with design code requirements and minimize ongoing costs. The functionality of the proposed method has been evaluated on two- and four-story steel frames as well as two three-dimensional two- and three-story frames while adhering to design principles. The final results indicate that both algorithms can provide an effective computational method for the optimal design of steel frames. The findings of this study provide an efficient tool for reducing costs and accelerating the design process of steel structures.