EvoFashion: Customising Fashion Through Evolution
In today’s society, where everyone desires unique and fashionable products, the ability to customise products is almost mandatory in every online store. Despite of many stores allowing the users to personalize their products, they do not always do it in the most efficient and user-friendly manner. In order to have products that reflect the user’s design preferences, they have to go through a laborious process of picking the components that they want to customise. In this paper we propose a framework that aims to relieve the design burden from the user side, by automating the design process through the use of Interactive Evolutionary Computation (IEC). The framework is based on a web-interface that facilitates the interaction between the user and the evolutionary process. The user can select between two types of evolution: (i) automatic; and (ii) partially-automatic. The results show the ability of the framework to promote evolution towards solutions that reflect the user aesthetic preferences.
KeywordsEvolutionary algorithm Fashion design Interactive evolutionary computation Product customisation
All shoe images are copyright of MYSWEAR (https://www.my-swear.com/), and are used as fair use for academic purposes only. We gratefully acknowledge the support of NVIDIA Corporation for the donation of a Titan X GPU. We would also like to thank Tiago Martins for all the patience making the charts herein presented.
- 1.Pine, B.J.: Markets of One: Creating Customer-Unique Value Through Mass Customization. Harvard Business Press, Brighton (2000)Google Scholar
- 3.Caldas, L.G., Norford, L.K.: A genetic algorithm tool for design optimization. In: Proceedings of the 1999 Conference of the Association for Computer-Aided Design in Architecture (ACADIA 1999), Salt Lake City, UT (1999)Google Scholar
- 4.Besserud, K., Cotten, J.: Architectural genomics (2008)Google Scholar
- 7.Hornby, G.S., Globus, A., Linden, D.S., Lohn, J.D.: Automated antenna design with evolutionary algorithms. In: AIAA Space, pp. 19–21 (2006)Google Scholar
- 8.Gonzalez-Morcillo, C., Martin, V.J., Vallejo, D., Castro-Schez, J.J., Albusac, J.: Gaudii: an automated graphic design expert system. In: IAAI (2010)Google Scholar
- 16.Shimoyama, K., Seo, K., Nishiwaki, T., Jeong, S., Obayashi, S.: Design optimization of a sport shoe sole structure by evolutionary computation and finite element method analysis. Proc. Inst. Mech. Eng. Part P J. Sports Eng. Technol. 225(4), 179–188 (2011)Google Scholar
- 17.Dasan, A.: The evolutionary design of generative shoes. http://arandasan.co.uk/Evolve (2012). Accessed 06 Nov 2016