Harmonious color optimization design based on adaptive interactive cultural algorithm

Abstract

Harmonious color design, as a necessary part in product design, is to find the color combinations matching one's preference. Since visual effect is hard to be described by mathematic model, each color combination shall be evaluated by the designers. Moreover, it has been proved that the knowledge derived from the evolution or gotten in advance can effectively improve the algorithm's performances. Consequently, adaptive interactive cultural algorithm is proposed to help the designer finding the preferred color combination. The algorithm is good at balancing the exploitation and the exploration because the parameters of crossover and mutation operations are adaptively adjusted according to the evolutionary degree. In addition, the detailed evolutionary strategies are adjusted for various persons who have different professional background and design experience. Taking shopping cards' color design as a typical application, the statistical experimental results show that adaptive interactive cultural algorithm has faster convergence speed and better stability. Fewer individuals evaluated by participants mean that human fatigue can be effectively alleviated and they can put more attention to other valuable works.