SCIS & ISIS
SCIS & ISIS 2008
セッションID: TH-D4-4
会議情報

Color Coombination Support Systems Using Interactive Genetic Algorithms
*Hiroyuki InoueDan Yuan
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会議録・要旨集 フリー

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抄録
Various colors are used for things that we use in daily life. A color combination is important for design and has a great influence on image or human kansei. The aim of this study is to construct a color combination support system considering personal preference and human kansei. In this paper, we propose a IGAs based color combination support system that shows color combinations that the user likes more. In this system, the user can makes a favorite color in the beginning of the system first. This color is one color composed of three color combination, and the other two colors combined with this color are generated by IGA. Also, the sort function are introduced in order to support user's relative estimation. Evaluation values that user given to candidates were higher than that of an initial generation in later generations, color combinations of user's favorite was obtained. Also, effectiveness of functions of changing the position of the favorite color and sorting candidates were shown.
著者関連情報
© 2008 Japan Society for Fuzzy Theory and Intelligent Informatics
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