In many research fields we have to deal with multidimensional data. Multidimensional data should be provided in a form that researcher could understand the structure of the given data. Graphical data visualization could be used for this purpose. One of the methods of graphical data visualization is multidimensional scaling. Using multidimensional scaling higher dimension data is visualized in two or three dimensional space. In this paper genetic algorithm is combined with multidimensional scaling technique. Genetic algorithms usually mimic natural evolution and consist of selection, recombination and mutation. The new hybrid genetic algorithm is analyzed with beverages dataset and pharmacological dataset.