An interactive co-evolutionary CAD system for garment pattern design

Traditional CAD (Computer-Aided Design) methods in garment pattern design (GPD) fail to utilize the knowledge of experts for inexperienced designers. Moreover, the interactive and co-evolutionary features are not supported. We propose an interactive co-evolutionary CAD system for GPD (ICE-GCAD). The functionality model, modular architecture and data flow of the system are proposed. Then, the interactive co-evolutionary system whose core module is an immune-inspired co-evolutionary algorithm is studied. Finally, the flow of co-design in the system is proposed. As a case demonstration, we study a design sample of a leisure shirt. The experimental studies show that our approach has promising performance and appealing effects. We believe ICE-GCAD is applicable to support the collaboration among garment designers and experts.