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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/28344


    Title: A study that applies aesthetic theory and genetic algorithms to product form optimization
    Authors: Lo, Chi-Hung;Ko, Ya-Chuan;Hsiao, Shih-Wen
    羅際鋐
    Contributors: 東海大學工業設計學系
    Keywords: Aesthetic measure;Form optimization;Fuzzy theory;Genetic algorithm;Aesthetic product design;Product evaluations
    Date: 2015-07
    Issue Date: 2016-10-19T01:59:44Z (UTC)
    Publisher: Amsterdam, Netherlands:Elsevier
    Abstract: In the past, designers developed new products by virtue of their own accumulation of aesthetic perception and experience. Because the information that designers could master was limited, it was difficult to develop quickly the capability of satisfying consumer-oriented markets. This limitation may consequently cause the enterprises unnecessary risks. Based on this, a set of aesthetic evaluations and an optimization system for form aesthetics are proposed in this study. Calculations of explicit equations were performed so as to assisting in measuring the aesthetic characteristics; next, a fuzzy judgment was invoked to calculate the perceptual aesthetic measures of a product style so as to establish the overall aesthetic standard for the product. Aesthetic measurement principles were combined with the genetic algorithm (GA) and applied to the optimization of the product’s shape. All-in-one stereos were chosen to serve as the target products as a case study. Further form optimization was conducted on two of the stereos and the questionnaire survey indicated that their aesthetic measures increased after the optimization. The errors that resulted from the equations for aesthetic measurements and judgments were also reduced accordingly. The precision and feasibility of the aesthetic theory that was constructed in this study were assessed, tested, and verified.
    Relation: Advanced Engineering Informatics, 29(3), 662–679
    Appears in Collections:[工業設計學系所] 期刊論文

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