These are two separate processes. A GLM, general linear model is used to infer the regression model and to compare the results across methods for the final analysis for which you use the optimal model. Monte Carlo methods use simulations of the original data to find the optimal solution. Simulations may be useful for data that does not some follow a known distribution.