A number of important parameters of cosmic-ray distribution, propagation, and interaction in the Milky Way can be predicted through the comparison of measured cosmic-ray and gamma-ray spectra to the spectra of simulated Galaxies. These predictions are made by altering the physical parameters governing Galaxy simulations until a best-fit set of parameters is found. Since the accuracy of this method is limited by the quality of available data, the exceptional precision of recent FGST gamma-ray measurements makes unprecedented galactic model refinement possible. Consequently, this data was used as a benchmark in optimizing galactic models derived by GALPROP. An in-depth investigation was performed on a wide range of galactic models, and improvement or degeneration in each was gauged through specialized analysis using novel GaDGET software. By analyzing individual galactic parameters and their effects on observed spectra, a new optimized set of parameters was found that better fits the Fermi data than previous GALPROP models. This result is especially important in refining previous estimates of galactic parameters that cannot be measured directly. It also provides an important check on known galactic parameters and enhances GALPROPs value as a high-level modeling tool.