نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه نساجی، دانشکده فنی و مهندسی، دانشگاه یزد
2 عضو هیات علمی دانشکده مهندسی نساجی دانشگاه یزد
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Today, with increasing development and utilization of digital technologies to promote and accelerate artistic
production trends, the use of computers has found a special place in fashion design. In this study, a 3D garment
design system using interactive genetic algorithms and k-means clustering is proposed. Components
of a swimsuit (top style, waist and bottom style) were individually designed using the 3D garment design
software. The fabric designs were reviewed and selected by users to make a database of favorites. The designs
were generated using genetic algorithms on a dummy. By rotation of the dummy, the users could see
all parts of the swimsuit intuitively. In order to reduce the eye strain/fatigue, the total population was limited
into 8 clusters using k-means clustering. Then, the fitness of the designs was determined by the user and the
next generations were produced by this fitness and evolution principles. The results of evolutions indicate the
system efficiency in fashion set design using a fabric pattern set at minimum cost and shortest time according
to user’s satisfaction.
کلیدواژهها [English]
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