Application of Genetic Algorithm in data visualization color matching realized by front-end

Abstract

Aiming at the problems of low color matching efficiency, difficulty in expansion, and lack of standardization in the process of realizing data visualization in the front-end, a set of automatic color matching schemes suitable for various chart types is proposed. This method uses a color selection function to randomly select colors from qualified color intervals to construct multiple palettes, and then uses genetic algorithms to optimize them. The fitness function will evaluate the quality of the palette from the two aspects of perceptibility and harmony between colors. Finally, the front-end chart library (ECharts) will be used to present the results of this method, and the user will be investigated in multiple dimensions, and positive results have been obtained.