Function of interactive genetic algorithm to fashion design

Abstract

Abstract: In general, computer-aided design support systems have got an approach of traditional artificial intelligence, which statistically analyzes data such as the behaviour of designer, to extract formal design behaviour. This approach, however, can neither deal with continuous change of fashion nor reject personal taste well, as it just depends on large amount of collected data. To overcome this sort of problem interactive genetic algorithm (IGA) has been recently proposed, as a new trend of evolutionary computation. Unlike the previous works that attempt to model the dress design by several spline curves, the proposed system is based on a new encoding scheme that practically describes a dress with three parts: body and neck, sleeve, and skirt. By incorporating the domain-specific knowledge into the genotype, we could develop a more realistic design aid system for women's dress. e have implemented the system with OpenGL and VRML to enhance the system interface.