Abstract
It is necessary to trade-off is present in the objective function, to select a compromise solution to multi-objective optimization results. In order to select a compromise solution, the goal is to extract information from the database using the data mining. Check information that is visualized and quantified by selecting a principal component analysis from the data mining, to executed on a single-stage hybrid rocket optimization results are retrieved from the database is valid or not. Results of the principal component analysis, was achieved visualization and quantifying the correlation coefficients between parameters including the design variables and objective function.
