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

机译:将美学理论和遗传算法应用于产品形态优化的研究

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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.
机译:过去,设计师通过自身积累的审美观念和经验来开发新产品。由于设计人员可以掌握的信息有限,因此难以快速发展满足面向消费者的市场的能力。因此,这种限制可能会给企业带来不必要的风险。在此基础上,提出了一套美学评价和形式美学优化系统。进行了显式方程的计算,以帮助测量美学特征。接下来,调用模糊判断来计算产品样式的感官美学度量,从而建立产品的整体美学标准。审美测量原理与遗传算法(GA)相结合,并应用于产品形状的优化。案例研究选择了多合一立体声作为目标产品。对其中的两个立体声进行了进一步的形式优化,问卷调查表明,优化后,它们的美学效果有所提高。相应地减少了由美学测量和判断方程式引起的误差。评估,测试和验证了本研究中构建的美学理论的准确性和可行性。

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