Interior Color Preference Investigation Using Interactive Genetic Algorithm

Abstract

This paper presents an investigation of Beijing residents concerning their apartment interior color preference using an IGA interior design system. The investigation tested typical living room interiors consisting of five factors, the ceiling, walls, floor, interior door and sofa, and the participants were instructed to find ideal color combinations for the five factors using the IGA system. Through statistical analysis of the design results of 231 participants, it was found that they tend to use brighter materials for the walls and floor in darker interiors. It was also found that their age, gender and family income level has an influence on their preference concerning lightness and saturation of interior color. Through analysis of the evolutionary process of IGA, it is also revealed that the color of the ceiling, walls, floor and door tend to be similar to each other, while the difference of color of the sofa to the other colors tends to be more diverse.