The paper presents a tool to optimize the ship hull form parameters based on the integration of the sectional area curve and genetic algorithm. The mechanism of a genetic algorithm is the ability to select the best solution for solving multi-objective problems without any traditional analytical methods. Longitudinal center of buoyancy (LCB), ship hull form coefficients such as block coefficient (CB), prismatic coefficient (CP), and mid-ship coefficient (CM) are considered as optimization variables in our research. The multi-objective mathematical function for problem optimization, in this study, is described through the frictional resistance and the wave resistance using Holtrop prediction method. As a result, in our proposed technique, the sectional area curve of a ship hull form is built from these optimized variables. In this paper, the proposed research method is applied to the container ship based on MATLAB platform and aims to support the designer in the preliminary ship design stage.