Intelligent Decision Making Based on GA for Creative Apparel Styling

This paper describes a conceptual intelligent design system, which chiefly consists of a searching mechanism and a classifier. The searching mechanism is based on genetic algorithm (GA) to search for various evolved types of clothing combinations, and the classifier is constructed through learning and knowledge acquisition by an artificial neural network (ANN) to play a roll of evaluation mechanism to classify the evolved clothing wearing style combinations. With the assistance of this system, a user without any expertise of fashion design can effectively find out the design schema, which is the bestfitted solution for the demand.