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 supp...
详细信息
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 interactiveco-evolutionary CAD system for GPD (ICE-GCAD), The functionality model, modular architecture and data flow of the system are proposed. Then, the interactiveco-evolutionary system whose core module is an immune-inspired co-evolutionaryalgorithm 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. (C) 2008 Elsevier Ltd. All rights reserved.
暂无评论