Tad Gonsalves and Ayumi Kawai, Sophia University, Japan

Selecting the right combination of colors in designing a product is often a difficult task. In this paper, the authors propose a decision support system for modeling the color combination design suited for personal preference using interactive Genetic Algorithm (iGA). iGA is different from the traditional GA in that it leaves the evaluation of the objective function to the personal preferences of the user. The iGA interactive system is capable of creating an unlimited number of color combination options taking into consideration the preferences of the user. The user chooses and indicates his/her preferences and directs the process of optimizing the color combination. The final outcome of this user-system interaction is a color-combination design which the user might have not even imagined before he/she began interacting with the system. Users find the system efficient, user-friendly and responding in real-time without causing any user fatigue.

Interactive Genetic Algorithm, kansei engineering, optimization, user-preference .