Fast and accurate rear fuselage weight estimations are an important process in aircraft design tasks. After modeling geometry and obtaining the load distribution, an optimized sizing must be obtained to calculate the rear fuselage weight. In this paper, optimization will be performed using a genetic algorithm. It will be integrated in the global weight estimation process, and its configuration and settings will be analyzed in order to improve convergence time and results obtained.