Intelligent optimal selection of garment sizes by using immune algorithm and AHP method

摘要

Due to the variety and complexity of body figures, it is difficult for people to find the right-size made-to-measure garments. In this article, a framework for intelligent optimal selection method of garment sizes based on Immune Algorithm (IA) and Analytic Hierarchy Process (AHP) is presented. Its implementation process is also described in details. To demonstrate its feasibility, we provide an example of selecting the best fit for men's top. The result shows that IAAHP-based method for intelligent optimal size selection outperforms both traditional experience-based judging and AHP methods. The proposed method is suitable for cases where people cannot identify the right garment size by try-on, especially during real-time applications such as online clothing sales. It has widespread application prospect regarding multi-channel development for apparel industry