Abstract

Today, the use of computers in fashion design has become a special place. In this research, the 3D design of clothing is presented using an interactive genetic algorithm (IGA) and fuzzy clustering method (FCM). To reduce user fatigue, it is possible to select the database parts by the user, which leads the initial generation according to user’s interests. Using the genetic algorithm, garment designs are created. garment designs are placed on the dummy, and with the dummy rotating, all parts of the dress are visible to the user. In this study, FCM methods of clustering are proposed in order to reduce user fatigue. The user only evaluated the representative individual’s fitness for each cluster and the fitness of other individual are estimated according to the level of similarity and the representative’s fitness. 3D designs of women’s swimsuit are used as a database to illustrate the performance of IGA fashion design system. The results show that the use of IGA and FCM are effective in designing 3D women’s swimsuit, and positive results can be seen on the user’s fatigue reduction. It also shows that the satisfaction of this system is high and can facilitate the design and promotion of its level and help designers.

Keywords:User fatigue; IGA; Data mining; FCM; 3D garment design