The research described is the initial efforts to develop knowledge based support system to the aesthetic design in industrial products. The methodology takes into account the cognition process during the design generation and captures this behavior in a group theoretic structure. This approach leads to a mathematically robust model for the creative design generation during the product design. Based on this model, an artificial neural network (ANN) and genetic algorithm (GA) based framework is implemented to assess the validity and usefulness of the approach.
Knowledge Support System for Aesthetics in Product Design
Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received March 7, 2012; final manuscript received November 19, 2012; published online March 14, 2013. Assoc. Editor: Shuming Gao.
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Soni, S., Khanna, P., and Tandon, P. (March 15, 2013). "Knowledge Support System for Aesthetics in Product Design." ASME. J. Comput. Inf. Sci. Eng. March 2013; 13(1): 011006. https://doi.org/10.1115/1.4023355
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