Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Multimodal optimisation design of product forms based on aesthetic evaluation

Multimodal optimisation design of product forms based on aesthetic evaluation In order to obtain beautiful product form scheme, we propose a multimodal optimisation design method for product form based on quantitative aesthetic evaluation. A system of aesthetic measures was established for aesthetic characteristics leaning on alignment of aesthetic principles and gestalt principles. Comprehensive evaluations were achieved with the nonlinear principal component analysis (NLPCA) method, which was based on the system characteristics of aesthetic cognition. To simulate the underlying design thinking, the multimodal optimisation design system was realised utilising niche artificial fish-swarm algorithm (NAFSA). The multimodal optimisation system is able to provide a variety of alternative scheme candidates for design decision-making. We demo the efficacy and robustness of this design system with a study of evolutionary design of the front faces of small vehicles. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Arts and Technology Inderscience Publishers

Multimodal optimisation design of product forms based on aesthetic evaluation

Loading next page...
 
/lp/inderscience-publishers/multimodal-optimisation-design-of-product-forms-based-on-aesthetic-sEApoX1nKh

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1754-8853
eISSN
1754-8861
DOI
10.1504/IJART.2020.108635
Publisher site
See Article on Publisher Site

Abstract

In order to obtain beautiful product form scheme, we propose a multimodal optimisation design method for product form based on quantitative aesthetic evaluation. A system of aesthetic measures was established for aesthetic characteristics leaning on alignment of aesthetic principles and gestalt principles. Comprehensive evaluations were achieved with the nonlinear principal component analysis (NLPCA) method, which was based on the system characteristics of aesthetic cognition. To simulate the underlying design thinking, the multimodal optimisation design system was realised utilising niche artificial fish-swarm algorithm (NAFSA). The multimodal optimisation system is able to provide a variety of alternative scheme candidates for design decision-making. We demo the efficacy and robustness of this design system with a study of evolutionary design of the front faces of small vehicles.

Journal

International Journal of Arts and TechnologyInderscience Publishers

Published: Jan 1, 2020

There are no references for this article.