A study that applies aesthetic theory and genetic algorithms to product form optimization

Chi Hung Lo, Ya Chuan Ko, Shih-Wen Hsiao

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.

Original languageEnglish
Article number614
Pages (from-to)662-679
Number of pages18
JournalAdvanced Engineering Informatics
Volume29
Issue number3
DOIs
Publication statusPublished - 2015 Aug 1

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Genetic algorithms
Industry

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Artificial Intelligence

Cite this

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A study that applies aesthetic theory and genetic algorithms to product form optimization. / Lo, Chi Hung; Ko, Ya Chuan; Hsiao, Shih-Wen.

In: Advanced Engineering Informatics, Vol. 29, No. 3, 614, 01.08.2015, p. 662-679.

Research output: Contribution to journalArticle

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