Color plays a key role in determining a consumer’s response to a product appearance. A gray-theory-based linguistic evaluation method and a color-harmony-based aesthetic evaluation method are combined in this study to diagnose appropriate productcolor schemes. Accordingly, this study develops a RGB-based quantitative aesthetic and linguistic measurement scheme to evaluate the image perception of a particular product-color scheme. In an inverse process, genetic algorithms are applied to search for the nearoptimal color combination which satisfies the designer’s specified product-color linguistic evaluation goal and achieves a high degree of color harmony.
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Tsai, HC., Hung, CY., Hung, FK. (2007). Automatic Product Color Design Using Genetic Searching. In: Dong, A., Moere, A.V., Gero, J.S. (eds) Computer-Aided Architectural Design Futures (CAADFutures) 2007. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6528-6_38
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DOI: https://doi.org/10.1007/978-1-4020-6528-6_38
Publisher Name: Springer, Dordrecht
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Online ISBN: 978-1-4020-6528-6
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